Overview

Dataset statistics

Number of variables166
Number of observations36259
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.9 MiB
Average record size in memory1.3 KiB

Variable types

NUM85
BOOL63
CAT18

Warnings

arthritis_onset is highly correlated with arthritisHigh correlation
arthritis is highly correlated with arthritis_onsetHigh correlation
heart_failure_onset is highly correlated with heart_failureHigh correlation
heart_failure is highly correlated with heart_failure_onsetHigh correlation
heart_disease_onset is highly correlated with heart_diseaseHigh correlation
heart_disease is highly correlated with heart_disease_onsetHigh correlation
angina_onset is highly correlated with anginaHigh correlation
angina is highly correlated with angina_onsetHigh correlation
heart_attack_onset is highly correlated with heart_attackHigh correlation
heart_attack is highly correlated with heart_attack_onsetHigh correlation
stroke_onset is highly correlated with strokeHigh correlation
stroke is highly correlated with stroke_onsetHigh correlation
emphysema_onset is highly correlated with emphysemaHigh correlation
emphysema is highly correlated with emphysema_onsetHigh correlation
liver_condition_onset is highly correlated with liver_conditionHigh correlation
liver_condition is highly correlated with liver_condition_onsetHigh correlation
thyroid_problem_onset is highly correlated with thyroid_problemHigh correlation
thyroid_problem is highly correlated with thyroid_problem_onsetHigh correlation
first_cancer_count is highly correlated with cancerHigh correlation
cancer is highly correlated with first_cancer_countHigh correlation
calcium is highly correlated with albumin and 6 other fieldsHigh correlation
albumin is highly correlated with calcium and 4 other fieldsHigh correlation
CO2 is highly correlated with calcium and 2 other fieldsHigh correlation
total_protein is highly correlated with albumin and 5 other fieldsHigh correlation
sodium is highly correlated with albumin and 6 other fieldsHigh correlation
potassium is highly correlated with calcium and 3 other fieldsHigh correlation
chloride is highly correlated with albumin and 5 other fieldsHigh correlation
osmolality is highly correlated with albumin and 6 other fieldsHigh correlation
globulin is highly correlated with total_proteinHigh correlation
hemoglobin is highly correlated with RBC_count and 1 other fieldsHigh correlation
RBC_count is highly correlated with hemoglobin and 1 other fieldsHigh correlation
hematocrit is highly correlated with RBC_count and 1 other fieldsHigh correlation
MCH is highly correlated with MCV and 1 other fieldsHigh correlation
MCV is highly correlated with MCH and 1 other fieldsHigh correlation
MCHC is highly correlated with MCV and 1 other fieldsHigh correlation
white_BCC is highly skewed (γ1 = 42.47624501) Skewed
lymphocyte_count is highly skewed (γ1 = 113.2704078) Skewed
cocaine_per_month is highly skewed (γ1 = 49.82114522) Skewed
heronine_per_month is highly skewed (γ1 = 38.06270681) Skewed
meth_per_month is highly skewed (γ1 = 31.76947474) Skewed
SEQN has unique values Unique
education_level has 2157 (5.9%) zeros Zeros
household_income has 1813 (5.0%) zeros Zeros
asthma_onset has 30981 (85.4%) zeros Zeros
arthritis_onset has 27002 (74.5%) zeros Zeros
heart_failure_onset has 35164 (97.0%) zeros Zeros
heart_disease_onset has 34890 (96.2%) zeros Zeros
angina_onset has 35387 (97.6%) zeros Zeros
heart_attack_onset has 34837 (96.1%) zeros Zeros
stroke_onset has 35000 (96.5%) zeros Zeros
emphysema_onset has 35566 (98.1%) zeros Zeros
bronchitis_onset has 34295 (94.6%) zeros Zeros
liver_condition_onset has 34879 (96.2%) zeros Zeros
thyroid_problem_onset has 32795 (90.4%) zeros Zeros
cancer_onset has 35750 (98.6%) zeros Zeros
BMI has 386 (1.1%) zeros Zeros
pulse has 728 (2.0%) zeros Zeros
systolic has 2530 (7.0%) zeros Zeros
diastolic has 2724 (7.5%) zeros Zeros
total_cholesterol has 1800 (5.0%) zeros Zeros
HDL has 1800 (5.0%) zeros Zeros
triglyceride has 19850 (54.7%) zeros Zeros
LDL has 20132 (55.5%) zeros Zeros
albumin has 1915 (5.3%) zeros Zeros
ALT has 1999 (5.5%) zeros Zeros
AST has 2016 (5.6%) zeros Zeros
ALP has 1923 (5.3%) zeros Zeros
BUN has 1921 (5.3%) zeros Zeros
calcium has 1950 (5.4%) zeros Zeros
CO2 has 1992 (5.5%) zeros Zeros
creatinine has 1917 (5.3%) zeros Zeros
GGT has 1923 (5.3%) zeros Zeros
glucose has 1917 (5.3%) zeros Zeros
iron has 1955 (5.4%) zeros Zeros
LHD has 2106 (5.8%) zeros Zeros
phosphorus has 1923 (5.3%) zeros Zeros
bilirubin has 1939 (5.3%) zeros Zeros
total_protein has 1966 (5.4%) zeros Zeros
uric_acid has 1927 (5.3%) zeros Zeros
sodium has 1918 (5.3%) zeros Zeros
potassium has 1924 (5.3%) zeros Zeros
chloride has 1918 (5.3%) zeros Zeros
osmolality has 1923 (5.3%) zeros Zeros
globulin has 1967 (5.4%) zeros Zeros
white_BCC has 1446 (4.0%) zeros Zeros
lymphocyte_percent has 1510 (4.2%) zeros Zeros
monocyte_percent has 1510 (4.2%) zeros Zeros
neutrophils_percent has 1510 (4.2%) zeros Zeros
eosinophils_percent has 1510 (4.2%) zeros Zeros
basophils_percent has 1510 (4.2%) zeros Zeros
lymphocyte_count has 1511 (4.2%) zeros Zeros
monocyte_count has 1511 (4.2%) zeros Zeros
neutrophils_count has 1511 (4.2%) zeros Zeros
eosinophils_count has 1511 (4.2%) zeros Zeros
basophils_count has 1511 (4.2%) zeros Zeros
RBC_count has 1445 (4.0%) zeros Zeros
hemoglobin has 1445 (4.0%) zeros Zeros
hematocrit has 1445 (4.0%) zeros Zeros
MCV has 1445 (4.0%) zeros Zeros
MCH has 1445 (4.0%) zeros Zeros
MCHC has 1429 (3.9%) zeros Zeros
RDW has 1445 (4.0%) zeros Zeros
platelet_count has 1446 (4.0%) zeros Zeros
MPV has 1446 (4.0%) zeros Zeros
time_in_current_job has 16672 (46.0%) zeros Zeros
drinks_per_occasion has 12804 (35.3%) zeros Zeros
drinks_past_year has 12808 (35.3%) zeros Zeros
marijuana_per_month has 32756 (90.3%) zeros Zeros
cocaine_number_uses has 32310 (89.1%) zeros Zeros
cocaine_per_month has 35837 (98.8%) zeros Zeros
heronine_per_month has 36200 (99.8%) zeros Zeros
meth_number_uses has 34660 (95.6%) zeros Zeros
meth_per_month has 36111 (99.6%) zeros Zeros
start_smoking_age has 21426 (59.1%) zeros Zeros
previous_cigarettes_per_day has 28368 (78.2%) zeros Zeros
current_cigarettes_per_day has 28822 (79.5%) zeros Zeros
days_quit_smoking has 27934 (77.0%) zeros Zeros
household_smokers has 10780 (29.7%) zeros Zeros
prescriptions_count has 16032 (44.2%) zeros Zeros

Reproduction

Analysis started2022-05-06 11:45:09.877731
Analysis finished2022-05-06 11:46:27.137246
Duration1 minute and 17.26 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

SEQN
Real number (ℝ≥0)

UNIQUE

Distinct36259
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67521.5638
Minimum31131
Maximum102956
Zeros0
Zeros (%)0.0%
Memory size283.3 KiB
2022-05-06T13:46:27.213263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum31131
5-th percentile35125.6
Q149463
median66902
Q385901.5
95-th percentile99540.1
Maximum102956
Range71825
Interquartile range (IQR)36438.5

Descriptive statistics

Standard deviation20832.29403
Coefficient of variation (CV)0.3085280147
Kurtosis-1.234354549
Mean67521.5638
Median Absolute Deviation (MAD)18208
Skewness0.001381509476
Sum2448264382
Variance433984474.5
MonotocityStrictly increasing
2022-05-06T13:46:27.348891image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
311311< 0.1%
 
801811< 0.1%
 
801681< 0.1%
 
801691< 0.1%
 
801701< 0.1%
 
801751< 0.1%
 
801781< 0.1%
 
801791< 0.1%
 
801831< 0.1%
 
801641< 0.1%
 
Other values (36249)36249> 99.9%
 
ValueCountFrequency (%) 
311311< 0.1%
 
311321< 0.1%
 
311341< 0.1%
 
311391< 0.1%
 
311431< 0.1%
 
ValueCountFrequency (%) 
1029561< 0.1%
 
1029541< 0.1%
 
1029531< 0.1%
 
1029521< 0.1%
 
1029491< 0.1%
 

depression
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Not Depressed
33091 
Depressed
 
3168
ValueCountFrequency (%) 
Not Depressed3309191.3%
 
Depressed31688.7%
 
2022-05-06T13:46:27.461916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:27.520929image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:27.585944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length13
Median length13
Mean length12.65051436
Min length9

gender
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
1
18447 
0
17812 
ValueCountFrequency (%) 
11844750.9%
 
01781249.1%
 
2022-05-06T13:46:27.652959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

age
Real number (ℝ≥0)

Distinct68
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.78625996
Minimum18
Maximum85
Zeros0
Zeros (%)0.0%
Memory size283.3 KiB
2022-05-06T13:46:27.725975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19
Q131
median47
Q363
95-th percentile80
Maximum85
Range67
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.76397783
Coefficient of variation (CV)0.3926647083
Kurtosis-1.141364256
Mean47.78625996
Median Absolute Deviation (MAD)16
Skewness0.08984870427
Sum1732682
Variance352.086864
MonotocityNot monotonic
2022-05-06T13:46:27.845002image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8018295.0%
 
1810763.0%
 
1910552.9%
 
607742.1%
 
617252.0%
 
626851.9%
 
636521.8%
 
226311.7%
 
236171.7%
 
406131.7%
 
Other values (58)2760276.1%
 
ValueCountFrequency (%) 
1810763.0%
 
1910552.9%
 
205841.6%
 
215701.6%
 
226311.7%
 
ValueCountFrequency (%) 
851010.3%
 
84240.1%
 
83340.1%
 
82350.1%
 
81450.1%
 

race
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
White
15179 
Black
7930 
Mexican
5874 
Other and Multiracial
3848 
Other Hispanic
3428 
ValueCountFrequency (%) 
White1517941.9%
 
Black793021.9%
 
Mexican587416.2%
 
Other and Multiracial384810.6%
 
Other Hispanic34289.5%
 
2022-05-06T13:46:27.960027image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:28.025635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:28.107653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length21
Median length5
Mean length7.872886732
Min length5

citizenship
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Citizen
31238 
Not Citizen
4952 
Missing
 
69
ValueCountFrequency (%) 
Citizen3123886.2%
 
Not Citizen495213.7%
 
Missing690.2%
 
2022-05-06T13:46:28.201674image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:28.267689image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:28.339705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length11
Median length7
Mean length7.546291955
Min length7

education_level
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.209106705
Minimum0
Maximum5
Zeros2157
Zeros (%)5.9%
Memory size283.3 KiB
2022-05-06T13:46:28.420723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464931537
Coefficient of variation (CV)0.4564919997
Kurtosis-0.5719330285
Mean3.209106705
Median Absolute Deviation (MAD)1
Skewness-0.5887800903
Sum116359
Variance2.146024407
MonotocityNot monotonic
2022-05-06T13:46:28.497741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
41013628.0%
 
3788721.8%
 
5781321.5%
 
2482313.3%
 
134439.5%
 
021575.9%
 
ValueCountFrequency (%) 
021575.9%
 
134439.5%
 
2482313.3%
 
3788721.8%
 
41013628.0%
 
ValueCountFrequency (%) 
5781321.5%
 
41013628.0%
 
3788721.8%
 
2482313.3%
 
134439.5%
 

marital_status
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Married
17574 
Never Married
6602 
Divorced
3751 
Partner
2842 
Widowed
2695 
Other values (2)
2795 
ValueCountFrequency (%) 
Married1757448.5%
 
Never Married660218.2%
 
Divorced375110.3%
 
Partner28427.8%
 
Widowed26957.4%
 
Missing16364.5%
 
Separated11593.2%
 
2022-05-06T13:46:28.589761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:28.660777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:28.749797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length13
Median length7
Mean length8.259852726
Min length7

household_size
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.206348769
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size283.3 KiB
2022-05-06T13:46:28.827814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.677449524
Coefficient of variation (CV)0.523165022
Kurtosis-0.439337375
Mean3.206348769
Median Absolute Deviation (MAD)1
Skewness0.6473513447
Sum116259
Variance2.813836905
MonotocityNot monotonic
2022-05-06T13:46:28.899423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
21076929.7%
 
3660718.2%
 
4590516.3%
 
1494513.6%
 
5392910.8%
 
720665.7%
 
620385.6%
 
ValueCountFrequency (%) 
1494513.6%
 
21076929.7%
 
3660718.2%
 
4590516.3%
 
5392910.8%
 
ValueCountFrequency (%) 
720665.7%
 
620385.6%
 
5392910.8%
 
4590516.3%
 
3660718.2%
 

pregnant
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
28366 
No
7237 
Yes
 
656
ValueCountFrequency (%) 
Missing2836678.2%
 
No723720.0%
 
Yes6561.8%
 
2022-05-06T13:46:28.990453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:29.053457image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:29.116472image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length5.929672633
Min length2

birth_place
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
USA
26624 
Mexico
7704 
Other Spanish Country
 
865
Other Non Spanish Country
 
690
Elsewhere
 
362
ValueCountFrequency (%) 
USA2662473.4%
 
Mexico770421.2%
 
Other Spanish Country8652.4%
 
Other Non Spanish Country6901.9%
 
Elsewhere3621.0%
 
Missing14< 0.1%
 
2022-05-06T13:46:29.205492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:29.272506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:29.486151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length25
Median length3
Mean length4.54692628
Min length3

veteran
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
No
32325 
Yes
3929 
Missing
 
5
ValueCountFrequency (%) 
No3232589.2%
 
Yes392910.8%
 
Missing5< 0.1%
 
2022-05-06T13:46:29.575171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:29.640185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:29.706200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length2
Mean length2.109048788
Min length2

household_income
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.919357953
Minimum0
Maximum12
Zeros1813
Zeros (%)5.0%
Memory size283.3 KiB
2022-05-06T13:46:29.786217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q14
median7
Q310
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.523152592
Coefficient of variation (CV)0.509173339
Kurtosis-0.9595620438
Mean6.919357953
Median Absolute Deviation (MAD)3
Skewness-0.1357985848
Sum250889
Variance12.41260419
MonotocityNot monotonic
2022-05-06T13:46:29.872237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
12490613.5%
 
6415411.5%
 
5394710.9%
 
11383910.6%
 
734199.4%
 
428037.7%
 
827967.7%
 
324076.6%
 
921195.8%
 
018135.0%
 
Other values (3)405611.2%
 
ValueCountFrequency (%) 
018135.0%
 
18282.3%
 
214734.1%
 
324076.6%
 
428037.7%
 
ValueCountFrequency (%) 
12490613.5%
 
11383910.6%
 
1017554.8%
 
921195.8%
 
827967.7%
 

asthma
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
30902 
1
5357 
ValueCountFrequency (%) 
03090285.2%
 
1535714.8%
 
2022-05-06T13:46:29.936251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

asthma_onset
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.142364654
Minimum0
Maximum85
Zeros30981
Zeros (%)85.4%
Memory size283.3 KiB
2022-05-06T13:46:30.018269image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.7631073
Coefficient of variation (CV)3.425161777
Kurtosis18.28610056
Mean3.142364654
Median Absolute Deviation (MAD)0
Skewness4.194778713
Sum113939
Variance115.8444788
MonotocityNot monotonic
2022-05-06T13:46:30.130295image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03098185.4%
 
14821.3%
 
53060.8%
 
102720.8%
 
62280.6%
 
72200.6%
 
82120.6%
 
121930.5%
 
41590.4%
 
31530.4%
 
Other values (72)30538.4%
 
ValueCountFrequency (%) 
03098185.4%
 
14821.3%
 
21300.4%
 
31530.4%
 
41590.4%
 
ValueCountFrequency (%) 
852< 0.1%
 
80200.1%
 
792< 0.1%
 
787< 0.1%
 
774< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33142 
1
 
3117
ValueCountFrequency (%) 
03314291.4%
 
131178.6%
 
2022-05-06T13:46:30.206311image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35760 
1
 
499
ValueCountFrequency (%) 
03576098.6%
 
14991.4%
 
2022-05-06T13:46:30.240319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

anemia
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34729 
1
 
1530
ValueCountFrequency (%) 
03472995.8%
 
115304.2%
 
2022-05-06T13:46:30.274327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
23742 
1
12517 
ValueCountFrequency (%) 
02374265.5%
 
11251734.5%
 
2022-05-06T13:46:30.308334image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
32018 
1
4241 
ValueCountFrequency (%) 
03201888.3%
 
1424111.7%
 
2022-05-06T13:46:30.341341image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

arthritis
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
26863 
1
9396 
ValueCountFrequency (%) 
02686374.1%
 
1939625.9%
 
2022-05-06T13:46:30.374349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

heart_failure
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35150 
1
 
1109
ValueCountFrequency (%) 
03515096.9%
 
111093.1%
 
2022-05-06T13:46:30.408357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

heart_disease
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34872 
1
 
1387
ValueCountFrequency (%) 
03487296.2%
 
113873.8%
 
2022-05-06T13:46:30.441364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

angina
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35374 
1
 
885
ValueCountFrequency (%) 
03537497.6%
 
18852.4%
 
2022-05-06T13:46:30.474960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

heart_attack
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34815 
1
 
1444
ValueCountFrequency (%) 
03481596.0%
 
114444.0%
 
2022-05-06T13:46:30.507967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

stroke
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34975 
1
 
1284
ValueCountFrequency (%) 
03497596.5%
 
112843.5%
 
2022-05-06T13:46:30.541976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

emphysema
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35553 
1
 
706
ValueCountFrequency (%) 
03555398.1%
 
17061.9%
 
2022-05-06T13:46:30.574983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

bronchitis
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34226 
1
 
2033
ValueCountFrequency (%) 
03422694.4%
 
120335.6%
 
2022-05-06T13:46:30.607990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

liver_condition
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34864 
1
 
1395
ValueCountFrequency (%) 
03486496.2%
 
113953.8%
 
2022-05-06T13:46:30.640997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

thyroid_problem
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
32746 
1
3513 
ValueCountFrequency (%) 
03274690.3%
 
135139.7%
 
2022-05-06T13:46:30.675039image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35305 
1
 
954
ValueCountFrequency (%) 
03530597.4%
 
19542.6%
 
2022-05-06T13:46:30.708652image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35501 
1
 
758
ValueCountFrequency (%) 
03550197.9%
 
17582.1%
 
2022-05-06T13:46:30.742660image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33675 
1
 
2584
ValueCountFrequency (%) 
03367592.9%
 
125847.1%
 
2022-05-06T13:46:30.776667image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

cancer
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
32973 
1
 
3286
ValueCountFrequency (%) 
03297390.9%
 
132869.1%
 
2022-05-06T13:46:30.809675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct31
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
None
33001 
Breast
 
521
Skin Non Melanoma
 
498
Prostate
 
494
Skin Other
 
241
Other values (26)
 
1504
ValueCountFrequency (%) 
None3300191.0%
 
Breast5211.4%
 
Skin Non Melanoma4981.4%
 
Prostate4941.4%
 
Skin Other2410.7%
 
Cervical2200.6%
 
Colon2040.6%
 
Melanoma1950.5%
 
Other1430.4%
 
Uterine1280.4%
 
Other values (21)6141.7%
 
2022-05-06T13:46:30.885692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2022-05-06T13:46:31.104741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length4
Mean length4.413331862
Min length4
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
None
35918 
Skin Non Melanoma
 
40
Prostate
 
37
Skin Other
 
34
Other
 
29
Other values (22)
 
201
ValueCountFrequency (%) 
None3591899.1%
 
Skin Non Melanoma400.1%
 
Prostate370.1%
 
Skin Other340.1%
 
Other290.1%
 
Melanoma280.1%
 
Colon270.1%
 
Ovarian220.1%
 
Breast18< 0.1%
 
Uterine17< 0.1%
 
Other values (17)890.2%
 
2022-05-06T13:46:31.209764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:31.312778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length4
Mean length4.038859318
Min length4
Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
None
36220 
Other
 
5
Skin Non Melanoma
 
5
Skin Other
 
4
Uterine
 
3
Other values (13)
 
22
ValueCountFrequency (%) 
None3622099.9%
 
Other5< 0.1%
 
Skin Non Melanoma5< 0.1%
 
Skin Other4< 0.1%
 
Uterine3< 0.1%
 
Melanoma3< 0.1%
 
Thyroid3< 0.1%
 
Ovarian2< 0.1%
 
Liver2< 0.1%
 
Colon2< 0.1%
 
Other values (8)10< 0.1%
 
2022-05-06T13:46:31.416801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)< 0.1%
2022-05-06T13:46:31.517833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length4
Mean length4.004247221
Min length4
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36255 
1
 
4
ValueCountFrequency (%) 
036255> 99.9%
 
14< 0.1%
 
2022-05-06T13:46:31.581847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
32053 
1
4206 
ValueCountFrequency (%) 
03205388.4%
 
1420611.6%
 
2022-05-06T13:46:31.614855image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
28799 
1
7460 
ValueCountFrequency (%) 
02879979.4%
 
1746020.6%
 
2022-05-06T13:46:31.648862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
21984 
1
14275 
ValueCountFrequency (%) 
02198460.6%
 
11427539.4%
 
2022-05-06T13:46:31.681870image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

hay_fever
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35815 
1
 
444
ValueCountFrequency (%) 
03581598.8%
 
14441.2%
 
2022-05-06T13:46:31.714877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

arthritis_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct86
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59731377
Minimum0
Maximum85
Zeros27002
Zeros (%)74.5%
Memory size283.3 KiB
2022-05-06T13:46:31.790884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile64
Maximum85
Range85
Interquartile range (IQR)14

Descriptive statistics

Standard deviation23.06201685
Coefficient of variation (CV)1.830709092
Kurtosis0.666210629
Mean12.59731377
Median Absolute Deviation (MAD)0
Skewness1.500282105
Sum456766
Variance531.8566214
MonotocityNot monotonic
2022-05-06T13:46:31.901909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02700274.5%
 
506781.9%
 
605001.4%
 
404891.3%
 
554381.2%
 
454011.1%
 
653040.8%
 
702740.8%
 
352460.7%
 
302410.7%
 
Other values (76)568615.7%
 
ValueCountFrequency (%) 
02700274.5%
 
16< 0.1%
 
29< 0.1%
 
38< 0.1%
 
48< 0.1%
 
ValueCountFrequency (%) 
8512< 0.1%
 
841< 0.1%
 
832< 0.1%
 
825< 0.1%
 
812< 0.1%
 

heart_failure_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct77
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.720152238
Minimum0
Maximum85
Zeros35164
Zeros (%)97.0%
Memory size283.3 KiB
2022-05-06T13:46:32.018935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.10442933
Coefficient of variation (CV)5.874148292
Kurtosis35.25451661
Mean1.720152238
Median Absolute Deviation (MAD)0
Skewness5.985168142
Sum62371
Variance102.0994921
MonotocityNot monotonic
2022-05-06T13:46:32.131970image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03516497.0%
 
80600.2%
 
60510.1%
 
50490.1%
 
65470.1%
 
70470.1%
 
55390.1%
 
58310.1%
 
53300.1%
 
45290.1%
 
Other values (67)7122.0%
 
ValueCountFrequency (%) 
03516497.0%
 
15< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
856< 0.1%
 
841< 0.1%
 
832< 0.1%
 
812< 0.1%
 
80600.2%
 

heart_disease_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct76
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.162166634
Minimum0
Maximum85
Zeros34890
Zeros (%)96.2%
Memory size283.3 KiB
2022-05-06T13:46:32.251987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.23360833
Coefficient of variation (CV)5.195533106
Kurtosis26.21103411
Mean2.162166634
Median Absolute Deviation (MAD)0
Skewness5.216191319
Sum78398
Variance126.1939561
MonotocityNot monotonic
2022-05-06T13:46:32.368013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03489096.2%
 
60740.2%
 
50670.2%
 
55660.2%
 
65540.1%
 
80490.1%
 
58460.1%
 
70430.1%
 
56430.1%
 
66400.1%
 
Other values (66)8872.4%
 
ValueCountFrequency (%) 
03489096.2%
 
11< 0.1%
 
31< 0.1%
 
53< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
854< 0.1%
 
823< 0.1%
 
811< 0.1%
 
80490.1%
 
7912< 0.1%
 

angina_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct73
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.260321575
Minimum0
Maximum85
Zeros35387
Zeros (%)97.6%
Memory size283.3 KiB
2022-05-06T13:46:32.487040image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.359120273
Coefficient of variation (CV)6.632529694
Kurtosis47.57952611
Mean1.260321575
Median Absolute Deviation (MAD)0
Skewness6.875207816
Sum45698
Variance69.87489174
MonotocityNot monotonic
2022-05-06T13:46:32.601065image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03538797.6%
 
60450.1%
 
50390.1%
 
45360.1%
 
40340.1%
 
55320.1%
 
58270.1%
 
59240.1%
 
35230.1%
 
46230.1%
 
Other values (63)5891.6%
 
ValueCountFrequency (%) 
03538797.6%
 
73< 0.1%
 
82< 0.1%
 
103< 0.1%
 
122< 0.1%
 
ValueCountFrequency (%) 
852< 0.1%
 
842< 0.1%
 
821< 0.1%
 
811< 0.1%
 
8018< 0.1%
 

heart_attack_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct73
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.176232108
Minimum0
Maximum85
Zeros34837
Zeros (%)96.1%
Memory size283.3 KiB
2022-05-06T13:46:32.721092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.12234436
Coefficient of variation (CV)5.110826333
Kurtosis26.08220172
Mean2.176232108
Median Absolute Deviation (MAD)0
Skewness5.180584037
Sum78908
Variance123.7065441
MonotocityNot monotonic
2022-05-06T13:46:32.837118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03483796.1%
 
50620.2%
 
60600.2%
 
55580.2%
 
65470.1%
 
80470.1%
 
58430.1%
 
45410.1%
 
56400.1%
 
70390.1%
 
Other values (63)9852.7%
 
ValueCountFrequency (%) 
03483796.1%
 
21< 0.1%
 
102< 0.1%
 
141< 0.1%
 
152< 0.1%
 
ValueCountFrequency (%) 
858< 0.1%
 
842< 0.1%
 
832< 0.1%
 
822< 0.1%
 
811< 0.1%
 

stroke_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct79
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.966573816
Minimum0
Maximum85
Zeros35000
Zeros (%)96.5%
Memory size283.3 KiB
2022-05-06T13:46:33.073171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.78401004
Coefficient of variation (CV)5.48365383
Kurtosis30.62400557
Mean1.966573816
Median Absolute Deviation (MAD)0
Skewness5.592836639
Sum71306
Variance116.2948725
MonotocityNot monotonic
2022-05-06T13:46:33.186196image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03500096.5%
 
80750.2%
 
65530.1%
 
55450.1%
 
50450.1%
 
70430.1%
 
60390.1%
 
53360.1%
 
62350.1%
 
58340.1%
 
Other values (69)8542.4%
 
ValueCountFrequency (%) 
03500096.5%
 
12< 0.1%
 
22< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
854< 0.1%
 
841< 0.1%
 
812< 0.1%
 
80750.2%
 
7918< 0.1%
 

emphysema_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct74
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.032157533
Minimum0
Maximum85
Zeros35566
Zeros (%)98.1%
Memory size283.3 KiB
2022-05-06T13:46:33.306223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.682353009
Coefficient of variation (CV)7.443004348
Kurtosis59.92145013
Mean1.032157533
Median Absolute Deviation (MAD)0
Skewness7.708904052
Sum37425
Variance59.01854775
MonotocityNot monotonic
2022-05-06T13:46:33.421248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03556698.1%
 
60410.1%
 
65330.1%
 
50310.1%
 
45310.1%
 
55280.1%
 
40240.1%
 
70230.1%
 
6618< 0.1%
 
5817< 0.1%
 
Other values (64)4471.2%
 
ValueCountFrequency (%) 
03556698.1%
 
41< 0.1%
 
51< 0.1%
 
61< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
851< 0.1%
 
831< 0.1%
 
822< 0.1%
 
811< 0.1%
 
8010< 0.1%
 

bronchitis_onset
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.897101409
Minimum0
Maximum85
Zeros34295
Zeros (%)94.6%
Memory size283.3 KiB
2022-05-06T13:46:33.539870image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.252438597
Coefficient of variation (CV)4.87714497
Kurtosis31.37586206
Mean1.897101409
Median Absolute Deviation (MAD)0
Skewness5.497210681
Sum68787
Variance85.60761998
MonotocityNot monotonic
2022-05-06T13:46:33.653895image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03429594.6%
 
161140.3%
 
50860.2%
 
40830.2%
 
30740.2%
 
35610.2%
 
25580.2%
 
20510.1%
 
55490.1%
 
60440.1%
 
Other values (72)13443.7%
 
ValueCountFrequency (%) 
03429594.6%
 
1310.1%
 
217< 0.1%
 
312< 0.1%
 
418< 0.1%
 
ValueCountFrequency (%) 
852< 0.1%
 
80190.1%
 
792< 0.1%
 
788< 0.1%
 
773< 0.1%
 

liver_condition_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct81
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.598085992
Minimum0
Maximum82
Zeros34879
Zeros (%)96.2%
Memory size283.3 KiB
2022-05-06T13:46:33.774922image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum82
Range82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.687700538
Coefficient of variation (CV)5.436316055
Kurtosis34.4114687
Mean1.598085992
Median Absolute Deviation (MAD)0
Skewness5.814174448
Sum57945
Variance75.47614064
MonotocityNot monotonic
2022-05-06T13:46:33.888947image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03487996.2%
 
35600.2%
 
45580.2%
 
40530.1%
 
50490.1%
 
30390.1%
 
55390.1%
 
60380.1%
 
25330.1%
 
42310.1%
 
Other values (71)9802.7%
 
ValueCountFrequency (%) 
03487996.2%
 
14< 0.1%
 
31< 0.1%
 
42< 0.1%
 
53< 0.1%
 
ValueCountFrequency (%) 
821< 0.1%
 
8010< 0.1%
 
793< 0.1%
 
783< 0.1%
 
773< 0.1%
 

thyroid_problem_onset
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct84
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.216497973
Minimum0
Maximum85
Zeros32795
Zeros (%)90.4%
Memory size283.3 KiB
2022-05-06T13:46:34.008975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.12490136
Coefficient of variation (CV)3.349912996
Kurtosis11.36041647
Mean4.216497973
Median Absolute Deviation (MAD)0
Skewness3.476290574
Sum152886
Variance199.5128383
MonotocityNot monotonic
2022-05-06T13:46:34.121999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03279590.4%
 
401660.5%
 
501610.4%
 
301440.4%
 
451120.3%
 
351120.3%
 
551070.3%
 
601020.3%
 
25880.2%
 
80870.2%
 
Other values (74)23856.6%
 
ValueCountFrequency (%) 
03279590.4%
 
12< 0.1%
 
23< 0.1%
 
41< 0.1%
 
59< 0.1%
 
ValueCountFrequency (%) 
853< 0.1%
 
841< 0.1%
 
831< 0.1%
 
822< 0.1%
 
80870.2%
 

cancer_onset
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7822609559
Minimum0
Maximum85
Zeros35750
Zeros (%)98.6%
Memory size283.3 KiB
2022-05-06T13:46:34.242027image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.823851538
Coefficient of variation (CV)8.723241888
Kurtosis84.41872073
Mean0.7822609559
Median Absolute Deviation (MAD)0
Skewness9.106085267
Sum28364
Variance46.56494981
MonotocityNot monotonic
2022-05-06T13:46:34.357052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03575098.6%
 
80330.1%
 
50200.1%
 
6016< 0.1%
 
6415< 0.1%
 
5915< 0.1%
 
6515< 0.1%
 
6214< 0.1%
 
5514< 0.1%
 
6314< 0.1%
 
Other values (55)3531.0%
 
ValueCountFrequency (%) 
03575098.6%
 
163< 0.1%
 
171< 0.1%
 
192< 0.1%
 
204< 0.1%
 
ValueCountFrequency (%) 
851< 0.1%
 
80330.1%
 
795< 0.1%
 
785< 0.1%
 
773< 0.1%
 

arthritis_type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
29748 
Osteoarthritis
3576 
Rheumatoid
 
1797
Other
 
1057
Psoriatic
 
81
ValueCountFrequency (%) 
Missing2974882.0%
 
Osteoarthritis35769.9%
 
Rheumatoid17975.0%
 
Other10572.9%
 
Psoriatic810.2%
 
2022-05-06T13:46:34.466076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:34.533092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:34.609108image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length14
Median length7
Mean length7.785211947
Min length5

first_cancer_count
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33001 
1
 
3258
ValueCountFrequency (%) 
03300191.0%
 
132589.0%
 
2022-05-06T13:46:34.668122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35918 
1
 
341
ValueCountFrequency (%) 
03591899.1%
 
13410.9%
 
2022-05-06T13:46:34.702129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36220 
1
 
39
ValueCountFrequency (%) 
03622099.9%
 
1390.1%
 
2022-05-06T13:46:34.737137image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

weight
Real number (ℝ≥0)

Distinct1372
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.86443642
Minimum0
Maximum371
Zeros332
Zeros (%)0.9%
Memory size283.3 KiB
2022-05-06T13:46:34.810153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile51.6
Q166
median78.2
Q392.7
95-th percentile121.6
Maximum371
Range371
Interquartile range (IQR)26.7

Descriptive statistics

Standard deviation23.05759459
Coefficient of variation (CV)0.285138877
Kurtosis3.550191507
Mean80.86443642
Median Absolute Deviation (MAD)13.2
Skewness0.6860359384
Sum2932063.6
Variance531.6526684
MonotocityNot monotonic
2022-05-06T13:46:35.043205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03320.9%
 
73.8950.3%
 
78.6940.3%
 
79.3930.3%
 
77.3910.3%
 
65.3910.3%
 
69.2910.3%
 
72.1900.2%
 
71.7890.2%
 
75890.2%
 
Other values (1362)3510496.8%
 
ValueCountFrequency (%) 
03320.9%
 
29.11< 0.1%
 
32.31< 0.1%
 
32.42< 0.1%
 
32.81< 0.1%
 
ValueCountFrequency (%) 
3711< 0.1%
 
259.51< 0.1%
 
242.61< 0.1%
 
239.41< 0.1%
 
230.71< 0.1%
 

height
Real number (ℝ≥0)

Distinct617
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.7644717
Minimum0
Maximum204.5
Zeros328
Zeros (%)0.9%
Memory size283.3 KiB
2022-05-06T13:46:35.167233image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150.5
Q1159.7
median166.9
Q3174.5
95-th percentile184.1
Maximum204.5
Range204.5
Interquartile range (IQR)14.8

Descriptive statistics

Standard deviation18.76785245
Coefficient of variation (CV)0.1132199937
Kurtosis52.29606899
Mean165.7644717
Median Absolute Deviation (MAD)7.4
Skewness-6.147017842
Sum6010453.98
Variance352.2322856
MonotocityNot monotonic
2022-05-06T13:46:35.287260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03280.9%
 
164.91630.4%
 
161.71510.4%
 
165.51480.4%
 
165.11450.4%
 
168.41450.4%
 
167.71450.4%
 
167.41440.4%
 
160.61430.4%
 
165.91430.4%
 
Other values (607)3460495.4%
 
ValueCountFrequency (%) 
03280.9%
 
123.31< 0.1%
 
134.51< 0.1%
 
135.31< 0.1%
 
135.41< 0.1%
 
ValueCountFrequency (%) 
204.51< 0.1%
 
204.11< 0.1%
 
203.81< 0.1%
 
202.73< 0.1%
 
202.61< 0.1%
 

BMI
Real number (ℝ≥0)

ZEROS

Distinct3139
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.77315729
Minimum0
Maximum130.21
Zeros386
Zeros (%)1.1%
Memory size283.3 KiB
2022-05-06T13:46:35.411287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.6
Q124.045
median27.86
Q332.5
95-th percentile42.071
Maximum130.21
Range130.21
Interquartile range (IQR)8.455

Descriptive statistics

Standard deviation7.60542893
Coefficient of variation (CV)0.2643237534
Kurtosis4.560279278
Mean28.77315729
Median Absolute Deviation (MAD)4.14
Skewness0.5665297884
Sum1043285.91
Variance57.84254921
MonotocityNot monotonic
2022-05-06T13:46:35.531893image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03861.1%
 
26.11630.4%
 
281630.4%
 
26.61610.4%
 
25.81570.4%
 
28.91570.4%
 
23.91550.4%
 
27.91540.4%
 
26.21540.4%
 
27.81530.4%
 
Other values (3129)3445695.0%
 
ValueCountFrequency (%) 
03861.1%
 
13.181< 0.1%
 
13.361< 0.1%
 
13.41< 0.1%
 
13.61< 0.1%
 
ValueCountFrequency (%) 
130.211< 0.1%
 
86.21< 0.1%
 
84.41< 0.1%
 
82.91< 0.1%
 
82.11< 0.1%
 

pulse
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.28602554
Minimum0
Maximum224
Zeros728
Zeros (%)2.0%
Memory size283.3 KiB
2022-05-06T13:46:35.653919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q164
median72
Q380
95-th percentile94
Maximum224
Range224
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.74826499
Coefficient of variation (CV)0.2209165803
Kurtosis7.355700398
Mean71.28602554
Median Absolute Deviation (MAD)8
Skewness-1.38234814
Sum2584760
Variance248.0078501
MonotocityNot monotonic
2022-05-06T13:46:35.771946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7025277.0%
 
7223926.6%
 
7423616.5%
 
6823606.5%
 
6622906.3%
 
6421606.0%
 
7620595.7%
 
7819215.3%
 
6218915.2%
 
6018225.0%
 
Other values (48)1447639.9%
 
ValueCountFrequency (%) 
07282.0%
 
341< 0.1%
 
362< 0.1%
 
4012< 0.1%
 
4217< 0.1%
 
ValueCountFrequency (%) 
2241< 0.1%
 
2201< 0.1%
 
1721< 0.1%
 
1661< 0.1%
 
1601< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35262 
1
 
997
ValueCountFrequency (%) 
03526297.3%
 
19972.7%
 
2022-05-06T13:46:35.849963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

systolic
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.4648501
Minimum0
Maximum270
Zeros2530
Zeros (%)7.0%
Memory size283.3 KiB
2022-05-06T13:46:35.921980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1108
median120
Q3132
95-th percentile158
Maximum270
Range270
Interquartile range (IQR)24

Descriptive statistics

Standard deviation36.4544135
Coefficient of variation (CV)0.3157187098
Kurtosis4.572251902
Mean115.4648501
Median Absolute Deviation (MAD)12
Skewness-1.892400969
Sum4186640
Variance1328.924264
MonotocityNot monotonic
2022-05-06T13:46:36.042006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025307.0%
 
11619345.3%
 
11418865.2%
 
12416694.6%
 
11816574.6%
 
12615954.4%
 
11215044.1%
 
12015004.1%
 
12214864.1%
 
11014223.9%
 
Other values (76)1907652.6%
 
ValueCountFrequency (%) 
025307.0%
 
661< 0.1%
 
722< 0.1%
 
743< 0.1%
 
782< 0.1%
 
ValueCountFrequency (%) 
2701< 0.1%
 
2561< 0.1%
 
2381< 0.1%
 
2361< 0.1%
 
2321< 0.1%
 

diastolic
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.98199068
Minimum0
Maximum134
Zeros2724
Zeros (%)7.5%
Memory size283.3 KiB
2022-05-06T13:46:36.157032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median70
Q378
95-th percentile90
Maximum134
Range134
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.90688756
Coefficient of variation (CV)0.3371224447
Kurtosis3.24796726
Mean64.98199068
Median Absolute Deviation (MAD)8
Skewness-1.739634619
Sum2356182
Variance479.9117227
MonotocityNot monotonic
2022-05-06T13:46:36.279059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
027247.5%
 
7224126.7%
 
7424036.6%
 
7021716.0%
 
6821706.0%
 
6621155.8%
 
7621145.8%
 
6420515.7%
 
6218175.0%
 
7817744.9%
 
Other values (51)1450840.0%
 
ValueCountFrequency (%) 
027247.5%
 
42< 0.1%
 
61< 0.1%
 
102< 0.1%
 
122< 0.1%
 
ValueCountFrequency (%) 
1341< 0.1%
 
1243< 0.1%
 
1222< 0.1%
 
1209< 0.1%
 
1186< 0.1%
 

total_cholesterol
Real number (ℝ≥0)

ZEROS

Distinct325
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.1990678
Minimum0
Maximum813
Zeros1800
Zeros (%)5.0%
Memory size283.3 KiB
2022-05-06T13:46:36.401087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82
Q1158
median186
Q3215
95-th percentile264
Maximum813
Range813
Interquartile range (IQR)57

Descriptive statistics

Standard deviation58.53554272
Coefficient of variation (CV)0.32127246
Kurtosis3.573161397
Mean182.1990678
Median Absolute Deviation (MAD)29
Skewness-0.9625032111
Sum6606356
Variance3426.409761
MonotocityNot monotonic
2022-05-06T13:46:36.519113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
018005.0%
 
1883631.0%
 
1723551.0%
 
1793551.0%
 
1783541.0%
 
1743531.0%
 
1923521.0%
 
1863501.0%
 
1843491.0%
 
1873471.0%
 
Other values (315)3128186.3%
 
ValueCountFrequency (%) 
018005.0%
 
591< 0.1%
 
751< 0.1%
 
761< 0.1%
 
771< 0.1%
 
ValueCountFrequency (%) 
8131< 0.1%
 
6151< 0.1%
 
6121< 0.1%
 
5451< 0.1%
 
5401< 0.1%
 

HDL
Real number (ℝ≥0)

ZEROS

Distinct151
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.40254833
Minimum0
Maximum226
Zeros1800
Zeros (%)5.0%
Memory size283.3 KiB
2022-05-06T13:46:36.644141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q140
median50
Q361
95-th percentile82
Maximum226
Range226
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.42746793
Coefficient of variation (CV)0.3854461445
Kurtosis2.226203033
Mean50.40254833
Median Absolute Deviation (MAD)10
Skewness-0.009325221357
Sum1827546
Variance377.4265101
MonotocityNot monotonic
2022-05-06T13:46:36.757166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
018005.0%
 
4110743.0%
 
4810733.0%
 
459982.8%
 
509732.7%
 
439552.6%
 
429552.6%
 
409532.6%
 
449492.6%
 
469482.6%
 
Other values (141)2558170.6%
 
ValueCountFrequency (%) 
018005.0%
 
61< 0.1%
 
71< 0.1%
 
102< 0.1%
 
113< 0.1%
 
ValueCountFrequency (%) 
2261< 0.1%
 
1881< 0.1%
 
1791< 0.1%
 
1781< 0.1%
 
1751< 0.1%
 

triglyceride
Real number (ℝ≥0)

ZEROS

Distinct595
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.10427756
Minimum0
Maximum4233
Zeros19850
Zeros (%)54.7%
Memory size283.3 KiB
2022-05-06T13:46:36.875192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile211
Maximum4233
Range4233
Interquartile range (IQR)94

Descriptive statistics

Standard deviation97.33896434
Coefficient of variation (CV)1.704582713
Kurtosis174.325561
Mean57.10427756
Median Absolute Deviation (MAD)0
Skewness7.542274256
Sum2070544
Variance9474.873979
MonotocityNot monotonic
2022-05-06T13:46:37.105244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01985054.7%
 
781650.5%
 
941610.4%
 
651510.4%
 
751500.4%
 
861490.4%
 
551450.4%
 
891450.4%
 
611440.4%
 
631440.4%
 
Other values (585)1505541.5%
 
ValueCountFrequency (%) 
01985054.7%
 
101< 0.1%
 
121< 0.1%
 
142< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
42331< 0.1%
 
27421< 0.1%
 
26841< 0.1%
 
25491< 0.1%
 
21411< 0.1%
 

LDL
Real number (ℝ≥0)

ZEROS

Distinct250
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.01969166
Minimum0
Maximum375
Zeros20132
Zeros (%)55.5%
Memory size283.3 KiB
2022-05-06T13:46:37.221270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3104
95-th percentile155
Maximum375
Range375
Interquartile range (IQR)104

Descriptive statistics

Standard deviation60.72755331
Coefficient of variation (CV)1.214072924
Kurtosis-0.8206543365
Mean50.01969166
Median Absolute Deviation (MAD)0
Skewness0.7021911822
Sum1813664
Variance3687.835731
MonotocityNot monotonic
2022-05-06T13:46:37.339296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02013255.5%
 
1042140.6%
 
1102080.6%
 
981990.5%
 
1061970.5%
 
1141930.5%
 
1121930.5%
 
961920.5%
 
911900.5%
 
1211900.5%
 
Other values (240)1435139.6%
 
ValueCountFrequency (%) 
02013255.5%
 
141< 0.1%
 
152< 0.1%
 
181< 0.1%
 
224< 0.1%
 
ValueCountFrequency (%) 
3751< 0.1%
 
3571< 0.1%
 
3541< 0.1%
 
3441< 0.1%
 
3411< 0.1%
 

albumin
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.998571389
Minimum0
Maximum5.6
Zeros1915
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:37.455322image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median4.2
Q34.4
95-th percentile4.8
Maximum5.6
Range5.6
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation1.007912406
Coefficient of variation (CV)0.2520681283
Kurtosis10.17216305
Mean3.998571389
Median Absolute Deviation (MAD)0.2
Skewness-3.229492041
Sum144984.2
Variance1.015887418
MonotocityNot monotonic
2022-05-06T13:46:37.556941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
4.2410311.3%
 
4.3404011.1%
 
4.4369710.2%
 
4.1364410.0%
 
4.530828.5%
 
430818.5%
 
3.922956.3%
 
4.622716.3%
 
019155.3%
 
3.816374.5%
 
Other values (28)649417.9%
 
ValueCountFrequency (%) 
019155.3%
 
1.21< 0.1%
 
21< 0.1%
 
2.12< 0.1%
 
2.32< 0.1%
 
ValueCountFrequency (%) 
5.61< 0.1%
 
5.53< 0.1%
 
5.49< 0.1%
 
5.3250.1%
 
5.2620.2%
 

ALT
Real number (ℝ≥0)

ZEROS

Distinct214
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.50555724
Minimum0
Maximum1363
Zeros1999
Zeros (%)5.5%
Memory size283.3 KiB
2022-05-06T13:46:37.669966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median20
Q327
95-th percentile51
Maximum1363
Range1363
Interquartile range (IQR)12

Descriptive statistics

Standard deviation20.12851563
Coefficient of variation (CV)0.8563300763
Kurtosis655.6707779
Mean23.50555724
Median Absolute Deviation (MAD)6
Skewness14.01527795
Sum852288
Variance405.1571413
MonotocityNot monotonic
2022-05-06T13:46:37.792994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019995.5%
 
1719265.3%
 
1619235.3%
 
1518865.2%
 
1818635.1%
 
1918375.1%
 
1417624.9%
 
2016414.5%
 
2115784.4%
 
1315004.1%
 
Other values (204)1834450.6%
 
ValueCountFrequency (%) 
019995.5%
 
33< 0.1%
 
42< 0.1%
 
512< 0.1%
 
6310.1%
 
ValueCountFrequency (%) 
13631< 0.1%
 
8191< 0.1%
 
5361< 0.1%
 
4431< 0.1%
 
4201< 0.1%
 

AST
Real number (ℝ≥0)

ZEROS

Distinct193
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.904603
Minimum0
Maximum882
Zeros2016
Zeros (%)5.6%
Memory size283.3 KiB
2022-05-06T13:46:37.915021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median22
Q327
95-th percentile41
Maximum882
Range882
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.56345311
Coefficient of variation (CV)0.692898063
Kurtosis536.4162419
Mean23.904603
Median Absolute Deviation (MAD)4
Skewness14.58863626
Sum866757
Variance274.347979
MonotocityNot monotonic
2022-05-06T13:46:38.028046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2124896.9%
 
2024626.8%
 
2223916.6%
 
1923166.4%
 
2322506.2%
 
1820875.8%
 
020165.6%
 
2419555.4%
 
2517934.9%
 
1717724.9%
 
Other values (183)1472840.6%
 
ValueCountFrequency (%) 
020165.6%
 
73< 0.1%
 
86< 0.1%
 
911< 0.1%
 
10430.1%
 
ValueCountFrequency (%) 
8821< 0.1%
 
8321< 0.1%
 
7331< 0.1%
 
5971< 0.1%
 
4001< 0.1%
 

ALP
Real number (ℝ≥0)

ZEROS

Distinct249
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.26316225
Minimum0
Maximum907
Zeros1923
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:38.145072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153
median66
Q381
95-th percentile111
Maximum907
Range907
Interquartile range (IQR)28

Descriptive statistics

Standard deviation29.46757058
Coefficient of variation (CV)0.438093744
Kurtosis45.84184314
Mean67.26316225
Median Absolute Deviation (MAD)14
Skewness2.411201057
Sum2438895
Variance868.337716
MonotocityNot monotonic
2022-05-06T13:46:38.259098image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019235.3%
 
617542.1%
 
657462.1%
 
597192.0%
 
637112.0%
 
667041.9%
 
677031.9%
 
627021.9%
 
646991.9%
 
556961.9%
 
Other values (239)2790277.0%
 
ValueCountFrequency (%) 
019235.3%
 
71< 0.1%
 
91< 0.1%
 
144< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
9071< 0.1%
 
7291< 0.1%
 
6461< 0.1%
 
6381< 0.1%
 
6331< 0.1%
 

BUN
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.79351333
Minimum0
Maximum98
Zeros1921
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:38.376124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median12
Q316
95-th percentile23
Maximum98
Range98
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.548530698
Coefficient of variation (CV)0.5118633581
Kurtosis11.56809769
Mean12.79351333
Median Absolute Deviation (MAD)3
Skewness1.746549097
Sum463880
Variance42.8832543
MonotocityNot monotonic
2022-05-06T13:46:38.493150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1132098.9%
 
1231558.7%
 
1330008.3%
 
1029688.2%
 
925977.2%
 
1425587.1%
 
1522936.3%
 
819815.5%
 
1619245.3%
 
019215.3%
 
Other values (68)1065329.4%
 
ValueCountFrequency (%) 
019215.3%
 
15< 0.1%
 
2300.1%
 
3980.3%
 
42280.6%
 
ValueCountFrequency (%) 
981< 0.1%
 
961< 0.1%
 
952< 0.1%
 
901< 0.1%
 
861< 0.1%
 

calcium
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.900228909
Minimum0
Maximum14.8
Zeros1950
Zeros (%)5.4%
Memory size283.3 KiB
2022-05-06T13:46:38.611186image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.1
median9.4
Q39.6
95-th percentile10
Maximum14.8
Range14.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation2.152408788
Coefficient of variation (CV)0.241837464
Kurtosis12.74437859
Mean8.900228909
Median Absolute Deviation (MAD)0.2
Skewness-3.768865346
Sum322713.4
Variance4.632863591
MonotocityNot monotonic
2022-05-06T13:46:38.726211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9.4401211.1%
 
9.3378510.4%
 
9.5374110.3%
 
9.234199.4%
 
9.632969.1%
 
9.127717.6%
 
9.725777.1%
 
919945.5%
 
019505.4%
 
9.819355.3%
 
Other values (44)677918.7%
 
ValueCountFrequency (%) 
019505.4%
 
6.41< 0.1%
 
6.51< 0.1%
 
6.61< 0.1%
 
6.92< 0.1%
 
ValueCountFrequency (%) 
14.81< 0.1%
 
12.71< 0.1%
 
12.12< 0.1%
 
122< 0.1%
 
11.71< 0.1%
 

CO2
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.6839957
Minimum0
Maximum43
Zeros1992
Zeros (%)5.5%
Memory size283.3 KiB
2022-05-06T13:46:38.839227image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median25
Q326
95-th percentile29
Maximum43
Range43
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.140146267
Coefficient of variation (CV)0.2592529717
Kurtosis9.2755981
Mean23.6839957
Median Absolute Deviation (MAD)2
Skewness-3.054631438
Sum858758
Variance37.70139618
MonotocityNot monotonic
2022-05-06T13:46:38.931836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
25610816.8%
 
26571815.8%
 
24526914.5%
 
27435412.0%
 
23374910.3%
 
2826227.2%
 
2222856.3%
 
019925.5%
 
2912153.4%
 
2112003.3%
 
Other values (19)17474.8%
 
ValueCountFrequency (%) 
019925.5%
 
101< 0.1%
 
131< 0.1%
 
141< 0.1%
 
154< 0.1%
 
ValueCountFrequency (%) 
431< 0.1%
 
401< 0.1%
 
384< 0.1%
 
373< 0.1%
 
3510< 0.1%
 

creatinine
Real number (ℝ≥0)

ZEROS

Distinct369
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8549488403
Minimum0
Maximum17.8
Zeros1917
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:39.158887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7
median0.83
Q31
95-th percentile1.31
Maximum17.8
Range17.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.4745326014
Coefficient of variation (CV)0.555042102
Kurtosis239.3340584
Mean0.8549488403
Median Absolute Deviation (MAD)0.15
Skewness10.27375417
Sum30999.59
Variance0.2251811898
MonotocityNot monotonic
2022-05-06T13:46:39.277497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019175.3%
 
0.813603.8%
 
0.913263.7%
 
0.710612.9%
 
110522.9%
 
0.829842.7%
 
0.729202.5%
 
0.928442.3%
 
1.17061.9%
 
0.66501.8%
 
Other values (359)2543970.2%
 
ValueCountFrequency (%) 
019175.3%
 
0.161< 0.1%
 
0.251< 0.1%
 
0.291< 0.1%
 
0.33< 0.1%
 
ValueCountFrequency (%) 
17.81< 0.1%
 
17.411< 0.1%
 
16.641< 0.1%
 
15.661< 0.1%
 
12.741< 0.1%
 

GGT
Real number (ℝ≥0)

ZEROS

Distinct382
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.50015169
Minimum0
Maximum1681
Zeros1923
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:39.404526image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median19
Q329
95-th percentile70
Maximum1681
Range1681
Interquartile range (IQR)16

Descriptive statistics

Standard deviation41.31718983
Coefficient of variation (CV)1.502434979
Kurtosis288.9590301
Mean27.50015169
Median Absolute Deviation (MAD)7
Skewness12.49961296
Sum997128
Variance1707.110176
MonotocityNot monotonic
2022-05-06T13:46:39.517551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019235.3%
 
1516634.6%
 
1416434.5%
 
1316044.4%
 
1615264.2%
 
1215244.2%
 
1715184.2%
 
1814464.0%
 
1113513.7%
 
1913223.6%
 
Other values (372)2073957.2%
 
ValueCountFrequency (%) 
019235.3%
 
21< 0.1%
 
31< 0.1%
 
417< 0.1%
 
51280.4%
 
ValueCountFrequency (%) 
16811< 0.1%
 
14791< 0.1%
 
13631< 0.1%
 
11971< 0.1%
 
11921< 0.1%
 

glucose
Real number (ℝ≥0)

ZEROS

Distinct403
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.82412642
Minimum0
Maximum777
Zeros1917
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:39.641834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median92
Q3103
95-th percentile160
Maximum777
Range777
Interquartile range (IQR)19

Descriptive statistics

Standard deviation44.27838356
Coefficient of variation (CV)0.4573073386
Kurtosis19.40296772
Mean96.82412642
Median Absolute Deviation (MAD)9
Skewness2.713582949
Sum3510746
Variance1960.575251
MonotocityNot monotonic
2022-05-06T13:46:39.764852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019175.3%
 
8811863.3%
 
9011773.2%
 
8911723.2%
 
9111623.2%
 
8711523.2%
 
9211283.1%
 
8610763.0%
 
9310682.9%
 
8510332.8%
 
Other values (393)2418866.7%
 
ValueCountFrequency (%) 
019175.3%
 
191< 0.1%
 
331< 0.1%
 
341< 0.1%
 
351< 0.1%
 
ValueCountFrequency (%) 
7771< 0.1%
 
6261< 0.1%
 
6171< 0.1%
 
6101< 0.1%
 
6051< 0.1%
 

iron
Real number (ℝ≥0)

ZEROS

Distinct285
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.29352712
Minimum0
Maximum476
Zeros1955
Zeros (%)5.4%
Memory size283.3 KiB
2022-05-06T13:46:39.890880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157
median78
Q3103
95-th percentile147
Maximum476
Range476
Interquartile range (IQR)46

Descriptive statistics

Standard deviation39.7171105
Coefficient of variation (CV)0.4946489701
Kurtosis1.946349957
Mean80.29352712
Median Absolute Deviation (MAD)23
Skewness0.5187356693
Sum2911363
Variance1577.448866
MonotocityNot monotonic
2022-05-06T13:46:40.003905image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019555.4%
 
684671.3%
 
794551.3%
 
634521.2%
 
764471.2%
 
714391.2%
 
674391.2%
 
874331.2%
 
844321.2%
 
814321.2%
 
Other values (275)3030883.6%
 
ValueCountFrequency (%) 
019555.4%
 
21< 0.1%
 
51< 0.1%
 
62< 0.1%
 
78< 0.1%
 
ValueCountFrequency (%) 
4761< 0.1%
 
4281< 0.1%
 
3871< 0.1%
 
3821< 0.1%
 
3431< 0.1%
 

LHD
Real number (ℝ≥0)

ZEROS

Distinct307
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.8677846
Minimum0
Maximum1539
Zeros2106
Zeros (%)5.8%
Memory size283.3 KiB
2022-05-06T13:46:40.116931image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110
median127
Q3147
95-th percentile184
Maximum1539
Range1539
Interquartile range (IQR)37

Descriptive statistics

Standard deviation44.8916452
Coefficient of variation (CV)0.3566571491
Kurtosis52.83403444
Mean125.8677846
Median Absolute Deviation (MAD)18
Skewness1.383721903
Sum4563840
Variance2015.259809
MonotocityNot monotonic
2022-05-06T13:46:40.232956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
021065.8%
 
1216091.7%
 
1205941.6%
 
1225701.6%
 
1235691.6%
 
1315651.6%
 
1255461.5%
 
1195271.5%
 
1185261.5%
 
1345231.4%
 
Other values (297)2912480.3%
 
ValueCountFrequency (%) 
021065.8%
 
41< 0.1%
 
321< 0.1%
 
371< 0.1%
 
381< 0.1%
 
ValueCountFrequency (%) 
15391< 0.1%
 
12741< 0.1%
 
10921< 0.1%
 
7791< 0.1%
 
7591< 0.1%
 

phosphorus
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.54431617
Minimum0
Maximum10.9
Zeros1923
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:40.360600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median3.7
Q34.1
95-th percentile4.7
Maximum10.9
Range10.9
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.006365554
Coefficient of variation (CV)0.2839378617
Kurtosis5.797482153
Mean3.54431617
Median Absolute Deviation (MAD)0.4
Skewness-2.059543844
Sum128513.36
Variance1.012771629
MonotocityNot monotonic
2022-05-06T13:46:40.481628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.625347.0%
 
3.825016.9%
 
3.724866.9%
 
3.523586.5%
 
3.923136.4%
 
3.421535.9%
 
421495.9%
 
019235.3%
 
4.118865.2%
 
3.318765.2%
 
Other values (55)1408038.8%
 
ValueCountFrequency (%) 
019235.3%
 
11< 0.1%
 
1.51< 0.1%
 
1.61< 0.1%
 
1.72< 0.1%
 
ValueCountFrequency (%) 
10.91< 0.1%
 
9.61< 0.1%
 
8.91< 0.1%
 
8.21< 0.1%
 
8.12< 0.1%
 

bilirubin
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6249670427
Minimum0
Maximum13.1
Zeros1939
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:40.598255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median0.6
Q30.8
95-th percentile1.2
Maximum13.1
Range13.1
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.346267444
Coefficient of variation (CV)0.5540571269
Kurtosis57.87652832
Mean0.6249670427
Median Absolute Deviation (MAD)0.2
Skewness2.71240802
Sum22660.68
Variance0.1199011428
MonotocityNot monotonic
2022-05-06T13:46:40.720282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6551115.2%
 
0.5523514.4%
 
0.7474913.1%
 
0.4397411.0%
 
0.8367310.1%
 
0.325257.0%
 
0.923406.5%
 
019395.3%
 
115754.3%
 
0.213423.7%
 
Other values (46)33969.4%
 
ValueCountFrequency (%) 
019395.3%
 
5.397605347e-79190.1%
 
0.014< 0.1%
 
0.024< 0.1%
 
0.031< 0.1%
 
ValueCountFrequency (%) 
13.11< 0.1%
 
7.31< 0.1%
 
7.11< 0.1%
 
4.41< 0.1%
 
4.11< 0.1%
 

total_protein
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct59
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.762011638
Minimum0
Maximum11.3
Zeros1966
Zeros (%)5.4%
Memory size283.3 KiB
2022-05-06T13:46:40.842300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.8
median7.1
Q37.4
95-th percentile7.9
Maximum11.3
Range11.3
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.68397923
Coefficient of variation (CV)0.2490352457
Kurtosis11.15567277
Mean6.762011638
Median Absolute Deviation (MAD)0.3
Skewness-3.443630819
Sum245183.78
Variance2.835786046
MonotocityNot monotonic
2022-05-06T13:46:40.960326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7.230678.5%
 
7.129838.2%
 
729618.2%
 
7.327557.6%
 
6.926547.3%
 
7.425116.9%
 
6.822596.2%
 
7.521776.0%
 
019665.4%
 
6.718265.0%
 
Other values (49)1110030.6%
 
ValueCountFrequency (%) 
019665.4%
 
3.41< 0.1%
 
4.72< 0.1%
 
4.91< 0.1%
 
5.11< 0.1%
 
ValueCountFrequency (%) 
11.31< 0.1%
 
10.91< 0.1%
 
10.81< 0.1%
 
10.41< 0.1%
 
10.31< 0.1%
 

uric_acid
Real number (ℝ≥0)

ZEROS

Distinct124
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.152086379
Minimum0
Maximum18
Zeros1927
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:41.197389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.2
median5.2
Q36.3
95-th percentile7.9
Maximum18
Range18
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.862481096
Coefficient of variation (CV)0.361500363
Kurtosis1.665349375
Mean5.152086379
Median Absolute Deviation (MAD)1
Skewness-0.6094062417
Sum186809.5
Variance3.468835834
MonotocityNot monotonic
2022-05-06T13:46:41.315405image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019275.3%
 
5.39852.7%
 
5.29822.7%
 
4.99542.6%
 
4.69512.6%
 
5.49512.6%
 
5.59432.6%
 
4.89112.5%
 
59102.5%
 
5.69072.5%
 
Other values (114)2583871.3%
 
ValueCountFrequency (%) 
019275.3%
 
0.41< 0.1%
 
0.51< 0.1%
 
0.71< 0.1%
 
0.82< 0.1%
 
ValueCountFrequency (%) 
181< 0.1%
 
17.61< 0.1%
 
15.11< 0.1%
 
13.71< 0.1%
 
13.32< 0.1%
 

sodium
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.9389393
Minimum0
Maximum161
Zeros1918
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:41.434432image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1138
median139
Q3141
95-th percentile143
Maximum161
Range161
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.26932909
Coefficient of variation (CV)0.2369984878
Kurtosis13.7746747
Mean131.9389393
Median Absolute Deviation (MAD)2
Skewness-3.957921588
Sum4783974
Variance977.7709419
MonotocityNot monotonic
2022-05-06T13:46:41.541456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
139636017.5%
 
140619117.1%
 
138506514.0%
 
141472713.0%
 
13731908.8%
 
14228237.8%
 
019185.3%
 
13617344.8%
 
14314203.9%
 
1358552.4%
 
Other values (31)19765.4%
 
ValueCountFrequency (%) 
019185.3%
 
991< 0.1%
 
1071< 0.1%
 
1141< 0.1%
 
1171< 0.1%
 
ValueCountFrequency (%) 
1611< 0.1%
 
1602< 0.1%
 
1571< 0.1%
 
1541< 0.1%
 
1531< 0.1%
 

potassium
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct243
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.774180479
Minimum0
Maximum7.3
Zeros1924
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:41.660492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.7
median3.92
Q34.2
95-th percentile4.6
Maximum7.3
Range7.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9553653807
Coefficient of variation (CV)0.2531318748
Kurtosis10.06145959
Mean3.774180479
Median Absolute Deviation (MAD)0.22
Skewness-3.155975666
Sum136848.01
Variance0.9127230107
MonotocityNot monotonic
2022-05-06T13:46:41.779509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4376610.4%
 
3.9373810.3%
 
3.833979.4%
 
4.133609.3%
 
4.227327.5%
 
3.726417.3%
 
4.320095.5%
 
019245.3%
 
3.618505.1%
 
4.413953.8%
 
Other values (233)944726.1%
 
ValueCountFrequency (%) 
019245.3%
 
2.31< 0.1%
 
2.41< 0.1%
 
2.51< 0.1%
 
2.62< 0.1%
 
ValueCountFrequency (%) 
7.31< 0.1%
 
6.61< 0.1%
 
63< 0.1%
 
5.94< 0.1%
 
5.862< 0.1%
 

chloride
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.97426846
Minimum0
Maximum120
Zeros1918
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:41.896535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1101
median103
Q3105
95-th percentile108
Maximum120
Range120
Interquartile range (IQR)4

Descriptive statistics

Standard deviation23.3412209
Coefficient of variation (CV)0.2382382769
Kurtosis13.43178487
Mean97.97426846
Median Absolute Deviation (MAD)2
Skewness-3.890010881
Sum3552449
Variance544.8125929
MonotocityNot monotonic
2022-05-06T13:46:42.010561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
104506114.0%
 
105455812.6%
 
103453412.5%
 
102378010.4%
 
10635599.8%
 
10129088.0%
 
10723986.6%
 
10019355.3%
 
019185.3%
 
10813603.8%
 
Other values (31)424811.7%
 
ValueCountFrequency (%) 
019185.3%
 
731< 0.1%
 
791< 0.1%
 
821< 0.1%
 
831< 0.1%
 
ValueCountFrequency (%) 
1201< 0.1%
 
1192< 0.1%
 
1182< 0.1%
 
1173< 0.1%
 
1162< 0.1%
 

osmolality
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct78
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.7606387
Minimum0
Maximum323
Zeros1923
Zeros (%)5.3%
Memory size283.3 KiB
2022-05-06T13:46:42.129587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1275
median278
Q3281
95-th percentile287
Maximum323
Range323
Interquartile range (IQR)6

Descriptive statistics

Standard deviation62.64001176
Coefficient of variation (CV)0.2374880955
Kurtosis13.68097084
Mean263.7606387
Median Absolute Deviation (MAD)3
Skewness-3.942406539
Sum9563697
Variance3923.771074
MonotocityNot monotonic
2022-05-06T13:46:42.246613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
27829308.1%
 
27728737.9%
 
27927707.6%
 
28026427.3%
 
27626197.2%
 
28122976.3%
 
27522476.2%
 
28220655.7%
 
019235.3%
 
27418755.2%
 
Other values (68)1201833.1%
 
ValueCountFrequency (%) 
019235.3%
 
2011< 0.1%
 
2151< 0.1%
 
2281< 0.1%
 
2351< 0.1%
 
ValueCountFrequency (%) 
3231< 0.1%
 
3221< 0.1%
 
3211< 0.1%
 
3152< 0.1%
 
3141< 0.1%
 

globulin
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct62
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.769648915
Minimum0
Maximum7.5
Zeros1967
Zeros (%)5.4%
Memory size283.3 KiB
2022-05-06T13:46:42.371240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6
median2.9
Q33.2
95-th percentile3.7
Maximum7.5
Range7.5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.7989862818
Coefficient of variation (CV)0.2884792645
Kurtosis5.644149082
Mean2.769648915
Median Absolute Deviation (MAD)0.3
Skewness-1.921444607
Sum100424.7
Variance0.6383790786
MonotocityNot monotonic
2022-05-06T13:46:42.487266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.833409.2%
 
2.931468.7%
 
2.731238.6%
 
330378.4%
 
2.627037.5%
 
3.126627.3%
 
2.522486.2%
 
3.222136.1%
 
019675.4%
 
3.318515.1%
 
Other values (52)996927.5%
 
ValueCountFrequency (%) 
019675.4%
 
0.71< 0.1%
 
0.81< 0.1%
 
14< 0.1%
 
1.21< 0.1%
 
ValueCountFrequency (%) 
7.51< 0.1%
 
7.21< 0.1%
 
7.11< 0.1%
 
71< 0.1%
 
6.71< 0.1%
 

white_BCC
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct211
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.989026173
Minimum0
Maximum400
Zeros1446
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:42.611303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q15.6
median6.9
Q38.4
95-th percentile11.1
Maximum400
Range400
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation3.468629432
Coefficient of variation (CV)0.4962965292
Kurtosis4602.305976
Mean6.989026173
Median Absolute Deviation (MAD)1.3
Skewness42.47624501
Sum253415.1
Variance12.03139013
MonotocityNot monotonic
2022-05-06T13:46:42.730329image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014464.0%
 
6.19732.7%
 
6.49692.7%
 
6.99482.6%
 
6.69322.6%
 
5.99272.6%
 
7.18932.5%
 
5.68722.4%
 
7.67952.2%
 
6.37882.2%
 
Other values (201)2671673.7%
 
ValueCountFrequency (%) 
014464.0%
 
1.41< 0.1%
 
1.51< 0.1%
 
1.61< 0.1%
 
1.71< 0.1%
 
ValueCountFrequency (%) 
4001< 0.1%
 
117.21< 0.1%
 
99.91< 0.1%
 
83.21< 0.1%
 
68.31< 0.1%
 

lymphocyte_percent
Real number (ℝ≥0)

ZEROS

Distinct611
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.35596955
Minimum0
Maximum94.5
Zeros1510
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:42.855348image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.9
Q123.9
median29.7
Q335.6
95-th percentile45.3
Maximum94.5
Range94.5
Interquartile range (IQR)11.7

Descriptive statistics

Standard deviation10.4829648
Coefficient of variation (CV)0.3570982312
Kurtosis1.578093977
Mean29.35596955
Median Absolute Deviation (MAD)5.9
Skewness-0.4162250659
Sum1064418.1
Variance109.892551
MonotocityNot monotonic
2022-05-06T13:46:42.971374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015104.2%
 
28.82620.7%
 
292600.7%
 
26.52360.7%
 
34.22340.6%
 
272320.6%
 
26.32190.6%
 
33.32150.6%
 
31.32150.6%
 
32.32120.6%
 
Other values (601)3266490.1%
 
ValueCountFrequency (%) 
015104.2%
 
2.71< 0.1%
 
2.91< 0.1%
 
3.41< 0.1%
 
3.51< 0.1%
 
ValueCountFrequency (%) 
94.51< 0.1%
 
90.81< 0.1%
 
89.71< 0.1%
 
89.51< 0.1%
 
881< 0.1%
 

monocyte_percent
Real number (ℝ≥0)

ZEROS

Distinct225
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.617184699
Minimum0
Maximum66.9
Zeros1510
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:43.087998image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q16.2
median7.6
Q39.1
95-th percentile11.8
Maximum66.9
Range66.9
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.786116034
Coefficient of variation (CV)0.3657671626
Kurtosis10.94717271
Mean7.617184699
Median Absolute Deviation (MAD)1.4
Skewness0.3732284725
Sum276191.5
Variance7.762442557
MonotocityNot monotonic
2022-05-06T13:46:43.322050image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015104.2%
 
6.99022.5%
 
7.18212.3%
 
8.18182.3%
 
7.67862.2%
 
8.47442.1%
 
8.67172.0%
 
6.47051.9%
 
6.66981.9%
 
7.96891.9%
 
Other values (215)2786976.9%
 
ValueCountFrequency (%) 
015104.2%
 
0.63< 0.1%
 
0.72< 0.1%
 
0.83< 0.1%
 
0.91< 0.1%
 
ValueCountFrequency (%) 
66.91< 0.1%
 
44.51< 0.1%
 
39.81< 0.1%
 
39.11< 0.1%
 
38.91< 0.1%
 

neutrophils_percent
Real number (ℝ≥0)

ZEROS

Distinct680
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.49119943
Minimum0
Maximum96.6
Zeros1510
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:43.444077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.69
Q150.8
median57.8
Q364.1
95-th percentile72.9
Maximum96.6
Range96.6
Interquartile range (IQR)13.3

Descriptive statistics

Standard deviation14.9481036
Coefficient of variation (CV)0.269377915
Kurtosis5.524726031
Mean55.49119943
Median Absolute Deviation (MAD)6.6
Skewness-2.009491228
Sum2012055.4
Variance223.4458013
MonotocityNot monotonic
2022-05-06T13:46:43.562113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015104.2%
 
59.72190.6%
 
59.32160.6%
 
60.92080.6%
 
57.82060.6%
 
61.32050.6%
 
57.22050.6%
 
61.82040.6%
 
56.81980.5%
 
58.81950.5%
 
Other values (670)3289390.7%
 
ValueCountFrequency (%) 
015104.2%
 
0.81< 0.1%
 
11< 0.1%
 
3.61< 0.1%
 
6.51< 0.1%
 
ValueCountFrequency (%) 
96.61< 0.1%
 
93.61< 0.1%
 
93.21< 0.1%
 
92.81< 0.1%
 
92.21< 0.1%
 

eosinophils_percent
Real number (ℝ≥0)

ZEROS

Distinct209
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.733889517
Minimum0
Maximum36.6
Zeros1510
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:43.680139image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.4
median2.3
Q33.5
95-th percentile6.6
Maximum36.6
Range36.6
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation2.164312315
Coefficient of variation (CV)0.79166049
Kurtosis18.01260448
Mean2.733889517
Median Absolute Deviation (MAD)1
Skewness2.83115765
Sum99128.1
Variance4.684247795
MonotocityNot monotonic
2022-05-06T13:46:43.799157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015104.2%
 
1.714444.0%
 
214083.9%
 
1.313273.7%
 
2.312473.4%
 
2.810562.9%
 
1.610392.9%
 
1.510252.8%
 
2.210212.8%
 
2.59742.7%
 
Other values (199)2420866.8%
 
ValueCountFrequency (%) 
015104.2%
 
5.397605347e-79450.1%
 
0.1680.2%
 
0.2950.3%
 
0.31290.4%
 
ValueCountFrequency (%) 
36.61< 0.1%
 
34.11< 0.1%
 
32.91< 0.1%
 
29.21< 0.1%
 
291< 0.1%
 

basophils_percent
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6964588102
Minimum0
Maximum10.8
Zeros1510
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:43.924185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.397605347e-79
Q10.4
median0.6
Q30.9
95-th percentile1.4
Maximum10.8
Range10.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.489201764
Coefficient of variation (CV)0.7024130599
Kurtosis27.40430842
Mean0.6964588102
Median Absolute Deviation (MAD)0.2
Skewness3.123131951
Sum25252.9
Variance0.2393183659
MonotocityNot monotonic
2022-05-06T13:46:44.041211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6572915.8%
 
0.4406411.2%
 
0.835429.8%
 
0.932629.0%
 
0.529078.0%
 
0.728417.8%
 
0.321886.0%
 
120725.7%
 
015104.2%
 
0.214013.9%
 
Other values (61)674318.6%
 
ValueCountFrequency (%) 
015104.2%
 
5.397605347e-796021.7%
 
0.19462.6%
 
0.214013.9%
 
0.321886.0%
 
ValueCountFrequency (%) 
10.81< 0.1%
 
9.91< 0.1%
 
8.41< 0.1%
 
7.51< 0.1%
 
7.31< 0.1%
 

lymphocyte_count
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct101
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.09156899
Minimum0
Maximum358.8
Zeros1511
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:44.156245image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8
Q11.6
median2
Q32.5
95-th percentile3.4
Maximum358.8
Range358.8
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation2.26355304
Coefficient of variation (CV)1.08222729
Kurtosis17205.21345
Mean2.09156899
Median Absolute Deviation (MAD)0.5
Skewness113.2704078
Sum75838.2
Variance5.123672366
MonotocityNot monotonic
2022-05-06T13:46:44.274262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.922506.2%
 
1.822216.1%
 
221505.9%
 
1.721095.8%
 
2.120245.6%
 
2.219545.4%
 
1.619185.3%
 
2.318055.0%
 
2.416634.6%
 
1.516014.4%
 
Other values (91)1656445.7%
 
ValueCountFrequency (%) 
015114.2%
 
0.22< 0.1%
 
0.32< 0.1%
 
0.410< 0.1%
 
0.5260.1%
 
ValueCountFrequency (%) 
358.81< 0.1%
 
110.81< 0.1%
 
71.11< 0.1%
 
491< 0.1%
 
48.41< 0.1%
 

monocyte_count
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5373424529
Minimum0
Maximum10.2
Zeros1511
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:44.391887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.5
Q30.7
95-th percentile0.9
Maximum10.2
Range10.2
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.229731844
Coefficient of variation (CV)0.4275333965
Kurtosis98.89794218
Mean0.5373424529
Median Absolute Deviation (MAD)0.1
Skewness3.025282664
Sum19483.5
Variance0.05277672014
MonotocityNot monotonic
2022-05-06T13:46:44.498910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
0.5831722.9%
 
0.4685918.9%
 
0.6684818.9%
 
0.7424811.7%
 
0.330218.3%
 
0.824066.6%
 
015114.2%
 
0.912783.5%
 
16161.7%
 
0.24941.4%
 
Other values (25)6611.8%
 
ValueCountFrequency (%) 
015114.2%
 
5.397605347e-792< 0.1%
 
0.1340.1%
 
0.24941.4%
 
0.330218.3%
 
ValueCountFrequency (%) 
10.21< 0.1%
 
5.51< 0.1%
 
4.31< 0.1%
 
3.61< 0.1%
 
3.41< 0.1%
 

neutrophils_count
Real number (ℝ≥0)

ZEROS

Distinct160
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.106712816
Minimum0
Maximum83.1
Zeros1511
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:44.612945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q13
median3.9
Q35.1
95-th percentile7.4
Maximum83.1
Range83.1
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.962746331
Coefficient of variation (CV)0.4779361059
Kurtosis98.31960573
Mean4.106712816
Median Absolute Deviation (MAD)1
Skewness3.292959746
Sum148905.3
Variance3.852373162
MonotocityNot monotonic
2022-05-06T13:46:44.726971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015114.2%
 
3.69992.8%
 
3.79942.7%
 
3.99612.7%
 
3.59572.6%
 
3.29442.6%
 
3.49332.6%
 
3.89322.6%
 
49232.5%
 
4.19202.5%
 
Other values (150)2618572.2%
 
ValueCountFrequency (%) 
015114.2%
 
0.11< 0.1%
 
0.21< 0.1%
 
0.32< 0.1%
 
0.44< 0.1%
 
ValueCountFrequency (%) 
83.11< 0.1%
 
62.91< 0.1%
 
35.21< 0.1%
 
25.61< 0.1%
 
19.41< 0.1%
 

eosinophils_count
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1951874017
Minimum0
Maximum8.4
Zeros1511
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:44.839987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.397605347e-79
Q10.1
median0.2
Q30.2
95-th percentile0.5
Maximum8.4
Range8.4
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1776177855
Coefficient of variation (CV)0.9099859103
Kurtosis176.1660868
Mean0.1951874017
Median Absolute Deviation (MAD)0.1
Skewness6.858115161
Sum7077.3
Variance0.03154807771
MonotocityNot monotonic
2022-05-06T13:46:44.939009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
0.11398138.6%
 
0.21008427.8%
 
0.3460212.7%
 
0.421195.8%
 
5.397605347e-7918215.0%
 
015114.2%
 
0.59662.7%
 
0.64981.4%
 
0.72340.6%
 
0.81390.4%
 
Other values (26)3040.8%
 
ValueCountFrequency (%) 
015114.2%
 
5.397605347e-7918215.0%
 
0.11398138.6%
 
0.21008427.8%
 
0.3460212.7%
 
ValueCountFrequency (%) 
8.41< 0.1%
 
4.91< 0.1%
 
3.81< 0.1%
 
3.71< 0.1%
 
3.61< 0.1%
 

basophils_count
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04366088419
Minimum0
Maximum4.7
Zeros1511
Zeros (%)4.2%
Memory size283.3 KiB
2022-05-06T13:46:45.028028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.397605347e-79
Q15.397605347e-79
median5.397605347e-79
Q30.1
95-th percentile0.1
Maximum4.7
Range4.7
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.06299615885
Coefficient of variation (CV)1.442851193
Kurtosis865.8973284
Mean0.04366088419
Median Absolute Deviation (MAD)0
Skewness13.55112575
Sum1583.1
Variance0.00396851603
MonotocityNot monotonic
2022-05-06T13:46:45.110057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
5.397605347e-791990754.9%
 
0.11416939.1%
 
015114.2%
 
0.25231.4%
 
0.3980.3%
 
0.4280.1%
 
0.58< 0.1%
 
0.65< 0.1%
 
13< 0.1%
 
0.73< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
015114.2%
 
5.397605347e-791990754.9%
 
0.11416939.1%
 
0.25231.4%
 
0.3980.3%
 
ValueCountFrequency (%) 
4.71< 0.1%
 
2.11< 0.1%
 
1.31< 0.1%
 
13< 0.1%
 
0.81< 0.1%
 

RBC_count
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct407
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.490586889
Minimum0
Maximum8.3
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:45.215080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.51
Q14.28
median4.64
Q35
95-th percentile5.49
Maximum8.3
Range8.3
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation1.042156954
Coefficient of variation (CV)0.2320758911
Kurtosis10.98831961
Mean4.490586889
Median Absolute Deviation (MAD)0.36
Skewness-3.050175829
Sum162824.19
Variance1.086091117
MonotocityNot monotonic
2022-05-06T13:46:45.447122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014454.0%
 
4.643951.1%
 
4.533781.0%
 
4.823711.0%
 
4.613671.0%
 
4.573481.0%
 
4.473451.0%
 
4.723430.9%
 
4.893420.9%
 
4.683360.9%
 
Other values (397)3158987.1%
 
ValueCountFrequency (%) 
014454.0%
 
1.671< 0.1%
 
2.321< 0.1%
 
2.381< 0.1%
 
2.41< 0.1%
 
ValueCountFrequency (%) 
8.31< 0.1%
 
7.91< 0.1%
 
7.551< 0.1%
 
7.151< 0.1%
 
7.141< 0.1%
 

hemoglobin
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct136
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.51139028
Minimum0
Maximum19.9
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:45.562758image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q112.9
median14
Q315.1
95-th percentile16.5
Maximum19.9
Range19.9
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation3.143251273
Coefficient of variation (CV)0.2326371461
Kurtosis10.83354775
Mean13.51139028
Median Absolute Deviation (MAD)1.1
Skewness-3.074667559
Sum489909.5
Variance9.880028568
MonotocityNot monotonic
2022-05-06T13:46:45.682785image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014454.0%
 
13.911743.2%
 
14.110843.0%
 
1510162.8%
 
13.19502.6%
 
14.39162.5%
 
13.89022.5%
 
13.58862.4%
 
15.48822.4%
 
14.58742.4%
 
Other values (126)2613072.1%
 
ValueCountFrequency (%) 
014454.0%
 
6.13< 0.1%
 
6.23< 0.1%
 
6.31< 0.1%
 
6.42< 0.1%
 
ValueCountFrequency (%) 
19.92< 0.1%
 
19.72< 0.1%
 
19.61< 0.1%
 
19.52< 0.1%
 
19.31< 0.1%
 

hematocrit
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct340
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.87056455
Minimum0
Maximum59
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:45.812422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.5
Q138.3
median41.3
Q344.4
95-th percentile48.2
Maximum59
Range59
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation9.156766787
Coefficient of variation (CV)0.2296623309
Kurtosis11.51285362
Mean39.87056455
Median Absolute Deviation (MAD)3.1
Skewness-3.193815991
Sum1445666.8
Variance83.846378
MonotocityNot monotonic
2022-05-06T13:46:45.927448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014454.0%
 
40.34311.2%
 
41.34251.2%
 
39.84141.1%
 
41.83991.1%
 
42.23931.1%
 
42.83901.1%
 
43.83811.1%
 
39.23691.0%
 
43.43641.0%
 
Other values (330)3124886.2%
 
ValueCountFrequency (%) 
014454.0%
 
17.91< 0.1%
 
20.11< 0.1%
 
20.51< 0.1%
 
20.61< 0.1%
 
ValueCountFrequency (%) 
591< 0.1%
 
58.81< 0.1%
 
57.81< 0.1%
 
57.71< 0.1%
 
56.51< 0.1%
 

MCV
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct536
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.48592349
Minimum0
Maximum125.3
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:46.048475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69.5
Q185.6
median89.3
Q392.4
95-th percentile97.3
Maximum125.3
Range125.3
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation18.35067487
Coefficient of variation (CV)0.2146631179
Kurtosis15.83899185
Mean85.48592349
Median Absolute Deviation (MAD)3.4
Skewness-3.993490369
Sum3099634.1
Variance336.7472683
MonotocityNot monotonic
2022-05-06T13:46:46.169511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014454.0%
 
89.44131.1%
 
89.83811.1%
 
88.93811.1%
 
90.73641.0%
 
91.63611.0%
 
89.63581.0%
 
89.13531.0%
 
91.43511.0%
 
88.63481.0%
 
Other values (526)3150486.9%
 
ValueCountFrequency (%) 
014454.0%
 
35.41< 0.1%
 
50.81< 0.1%
 
51.11< 0.1%
 
51.61< 0.1%
 
ValueCountFrequency (%) 
125.31< 0.1%
 
121.91< 0.1%
 
119.21< 0.1%
 
118.81< 0.1%
 
118.11< 0.1%
 

MCH
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct244
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.97044044
Minimum0
Maximum74.5
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:46.291529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q128.8
median30.3
Q331.5
95-th percentile33.4
Maximum74.5
Range74.5
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation6.364927693
Coefficient of variation (CV)0.2197042087
Kurtosis14.32371306
Mean28.97044044
Median Absolute Deviation (MAD)1.3
Skewness-3.712908724
Sum1050439.2
Variance40.51230454
MonotocityNot monotonic
2022-05-06T13:46:46.407555image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014454.0%
 
31.39922.7%
 
309572.6%
 
30.89002.5%
 
31.58832.4%
 
30.38612.4%
 
29.57972.2%
 
29.87922.2%
 
30.77652.1%
 
317552.1%
 
Other values (234)2711274.8%
 
ValueCountFrequency (%) 
014454.0%
 
12.41< 0.1%
 
14.61< 0.1%
 
14.71< 0.1%
 
15.11< 0.1%
 
ValueCountFrequency (%) 
74.51< 0.1%
 
60.81< 0.1%
 
56.21< 0.1%
 
46.41< 0.1%
 
46.11< 0.1%
 

MCHC
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct116
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.53266775
Minimum0
Maximum69.6
Zeros1429
Zeros (%)3.9%
Memory size283.3 KiB
2022-05-06T13:46:46.532583image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.2
Q133.1
median33.8
Q334.5
95-th percentile35.5
Maximum69.6
Range69.6
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation6.671157229
Coefficient of variation (CV)0.2050602576
Kurtosis19.32898538
Mean32.53266775
Median Absolute Deviation (MAD)0.7
Skewness-4.545132462
Sum1179602
Variance44.50433877
MonotocityNot monotonic
2022-05-06T13:46:46.651610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
33.818575.1%
 
34.218235.0%
 
3415564.3%
 
33.315014.1%
 
014293.9%
 
33.713713.8%
 
34.313403.7%
 
33.613343.7%
 
34.813303.7%
 
34.512753.5%
 
Other values (106)2144359.1%
 
ValueCountFrequency (%) 
014293.9%
 
25.11< 0.1%
 
25.21< 0.1%
 
27.11< 0.1%
 
27.61< 0.1%
 
ValueCountFrequency (%) 
69.61< 0.1%
 
44.91< 0.1%
 
43.81< 0.1%
 
43.51< 0.1%
 
43.31< 0.1%
 

RDW
Real number (ℝ≥0)

ZEROS

Distinct155
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.77254199
Minimum0
Maximum37.8
Zeros1445
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:46.780639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.4
Q112.4
median13
Q313.7
95-th percentile15.6
Maximum37.8
Range37.8
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation2.926772566
Coefficient of variation (CV)0.2291456601
Kurtosis12.66761849
Mean12.77254199
Median Absolute Deviation (MAD)0.7
Skewness-2.914165002
Sum463119.6
Variance8.56599765
MonotocityNot monotonic
2022-05-06T13:46:46.894664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12.519635.4%
 
12.918425.1%
 
13.118025.0%
 
014454.0%
 
12.614163.9%
 
12.714023.9%
 
13.313933.8%
 
12.413513.7%
 
1313183.6%
 
13.412533.5%
 
Other values (145)2107458.1%
 
ValueCountFrequency (%) 
014454.0%
 
10.72< 0.1%
 
10.85< 0.1%
 
10.92< 0.1%
 
11300.1%
 
ValueCountFrequency (%) 
37.81< 0.1%
 
31.81< 0.1%
 
30.91< 0.1%
 
30.81< 0.1%
 
30.61< 0.1%
 

platelet_count
Real number (ℝ≥0)

ZEROS

Distinct538
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.2102375
Minimum0
Maximum1000
Zeros1446
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:47.019692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q1198
median238
Q3283
95-th percentile363
Maximum1000
Range1000
Interquartile range (IQR)85

Descriptive statistics

Standard deviation81.02913543
Coefficient of variation (CV)0.3401580734
Kurtosis2.980563145
Mean238.2102375
Median Absolute Deviation (MAD)42
Skewness-0.2867050631
Sum8637265
Variance6565.720789
MonotocityNot monotonic
2022-05-06T13:46:47.137299image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014464.0%
 
2352740.8%
 
2202700.7%
 
2252650.7%
 
2392610.7%
 
2112590.7%
 
2302590.7%
 
2292540.7%
 
2262540.7%
 
2332520.7%
 
Other values (528)3246589.5%
 
ValueCountFrequency (%) 
014464.0%
 
41< 0.1%
 
111< 0.1%
 
141< 0.1%
 
181< 0.1%
 
ValueCountFrequency (%) 
10001< 0.1%
 
9911< 0.1%
 
8221< 0.1%
 
8181< 0.1%
 
7991< 0.1%
 

MPV
Real number (ℝ≥0)

ZEROS

Distinct84
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.861228936
Minimum0
Maximum15.1
Zeros1446
Zeros (%)4.0%
Memory size283.3 KiB
2022-05-06T13:46:47.257326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.3
Q17.5
median8.1
Q38.7
95-th percentile9.8
Maximum15.1
Range15.1
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.843411009
Coefficient of variation (CV)0.2344939988
Kurtosis10.52032383
Mean7.861228936
Median Absolute Deviation (MAD)0.6
Skewness-2.892070662
Sum285040.3
Variance3.398164147
MonotocityNot monotonic
2022-05-06T13:46:47.491378image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8.120845.7%
 
7.618125.0%
 
8.418105.0%
 
7.915814.4%
 
815714.3%
 
7.815244.2%
 
8.615224.2%
 
8.215154.2%
 
014464.0%
 
7.513543.7%
 
Other values (74)2004055.3%
 
ValueCountFrequency (%) 
014464.0%
 
4.71< 0.1%
 
4.81< 0.1%
 
52< 0.1%
 
5.12< 0.1%
 
ValueCountFrequency (%) 
15.11< 0.1%
 
13.61< 0.1%
 
13.51< 0.1%
 
13.31< 0.1%
 
132< 0.1%
 

full_time_work
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
30492 
No
3722 
Yes
 
2045
ValueCountFrequency (%) 
Missing3049284.1%
 
No372210.3%
 
Yes20455.6%
 
2022-05-06T13:46:47.600402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:47.664416image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:47.730431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.261148956
Min length2

work_type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
16284 
Private Wage Worker
14961 
Government
2948 
Self Employed
1979 
Family Business
 
87
ValueCountFrequency (%) 
Missing1628444.9%
 
Private Wage Worker1496141.3%
 
Government29488.1%
 
Self Employed19795.5%
 
Family Business870.2%
 
2022-05-06T13:46:47.823452image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:47.892467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:47.975485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length10
Mean length12.541962
Min length7

time_in_current_job
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.1361593
Minimum0
Maximum720
Zeros16672
Zeros (%)46.0%
Memory size283.3 KiB
2022-05-06T13:46:48.076508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q360
95-th percentile252
Maximum720
Range720
Interquartile range (IQR)60

Descriptive statistics

Standard deviation92.28212497
Coefficient of variation (CV)1.87808991
Kurtosis8.259965154
Mean49.1361593
Median Absolute Deviation (MAD)3
Skewness2.699173094
Sum1781628
Variance8515.990589
MonotocityNot monotonic
2022-05-06T13:46:48.189543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01667246.0%
 
2415794.4%
 
3615124.2%
 
1214494.0%
 
6011313.1%
 
4810482.9%
 
1208652.4%
 
727562.1%
 
846251.7%
 
966231.7%
 
Other values (89)999927.6%
 
ValueCountFrequency (%) 
01667246.0%
 
14261.2%
 
24861.3%
 
36081.7%
 
43961.1%
 
ValueCountFrequency (%) 
72011< 0.1%
 
7081< 0.1%
 
6961< 0.1%
 
6722< 0.1%
 
66011< 0.1%
 

out_of_work
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
21461 
Retired
6687 
Home Caretaker
2366 
Disabled
 
1954
Health
 
1195
Other values (3)
2596 
ValueCountFrequency (%) 
Missing2146159.2%
 
Retired668718.4%
 
Home Caretaker23666.5%
 
Disabled19545.4%
 
Health11953.3%
 
School11043.0%
 
Other10843.0%
 
Layoff4081.1%
 
2022-05-06T13:46:48.297558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:48.362572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:48.453193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length14
Median length7
Mean length7.376210044
Min length5
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
27243 
1
9016 
ValueCountFrequency (%) 
02724375.1%
 
1901624.9%
 
2022-05-06T13:46:48.511206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

sleep_hours
Real number (ℝ≥0)

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.071830442
Minimum0
Maximum14.5
Zeros97
Zeros (%)0.3%
Memory size283.3 KiB
2022-05-06T13:46:48.572219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q16
median7
Q38
95-th percentile9.5
Maximum14.5
Range14.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.57052537
Coefficient of variation (CV)0.2220818758
Kurtosis1.658298951
Mean7.071830442
Median Absolute Deviation (MAD)1
Skewness-0.1881441416
Sum256417.5
Variance2.466549937
MonotocityNot monotonic
2022-05-06T13:46:48.664249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
8894124.7%
 
7855323.6%
 
6686818.9%
 
528557.9%
 
925036.9%
 
412233.4%
 
7.510262.8%
 
1010052.8%
 
8.57632.1%
 
6.56451.8%
 
Other values (18)18775.2%
 
ValueCountFrequency (%) 
0970.3%
 
115< 0.1%
 
21010.3%
 
2.51< 0.1%
 
33190.9%
 
ValueCountFrequency (%) 
14.52< 0.1%
 
1412< 0.1%
 
13.52< 0.1%
 
13240.1%
 
12.56< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
No
27318 
Yes
8938 
Missing
 
3
ValueCountFrequency (%) 
No2731875.3%
 
Yes893824.7%
 
Missing3< 0.1%
 
2022-05-06T13:46:48.764263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:48.827276image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:48.892291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length2
Mean length2.246918007
Min length2
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
No
20917 
Yes
15336 
Missing
 
6
ValueCountFrequency (%) 
No2091757.7%
 
Yes1533642.3%
 
Missing6< 0.1%
 
2022-05-06T13:46:48.980311image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:49.040324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:49.105339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length2
Mean length2.42378444
Min length2

sedentary_time
Real number (ℝ≥0)

Distinct67
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.8408119
Minimum0
Maximum1320
Zeros224
Zeros (%)0.6%
Memory size283.3 KiB
2022-05-06T13:46:49.203370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q1180
median300
Q3480
95-th percentile720
Maximum1320
Range1320
Interquartile range (IQR)300

Descriptive statistics

Standard deviation201.395358
Coefficient of variation (CV)0.6087379511
Kurtosis0.261350137
Mean330.8408119
Median Absolute Deviation (MAD)120
Skewness0.7583874284
Sum11995957
Variance40560.09022
MonotocityNot monotonic
2022-05-06T13:46:49.323387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
240461712.7%
 
180424411.7%
 
480418911.6%
 
300388610.7%
 
120374910.3%
 
360372310.3%
 
60025096.9%
 
6017004.7%
 
42014924.1%
 
72014584.0%
 
Other values (57)469212.9%
 
ValueCountFrequency (%) 
02240.6%
 
112< 0.1%
 
210< 0.1%
 
38< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
13202< 0.1%
 
120013< 0.1%
 
11404< 0.1%
 
1080540.1%
 
1020260.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
29647 
1
6612 
ValueCountFrequency (%) 
02964781.8%
 
1661218.2%
 
2022-05-06T13:46:49.521441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
23690 
1
12569 
ValueCountFrequency (%) 
02369065.3%
 
11256934.7%
 
2022-05-06T13:46:49.554447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

drinks_per_occasion
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.820927218
Minimum0
Maximum83
Zeros12804
Zeros (%)35.3%
Memory size283.3 KiB
2022-05-06T13:46:49.619463image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum83
Range83
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.583303914
Coefficient of variation (CV)1.418674996
Kurtosis85.38406272
Mean1.820927218
Median Absolute Deviation (MAD)1
Skewness5.173407278
Sum66025
Variance6.67345911
MonotocityNot monotonic
2022-05-06T13:46:49.712484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
01280435.3%
 
1817922.6%
 
2647017.8%
 
333849.3%
 
417764.9%
 
612003.3%
 
510142.8%
 
123420.9%
 
83260.9%
 
102590.7%
 
Other values (22)5051.4%
 
ValueCountFrequency (%) 
01280435.3%
 
1817922.6%
 
2647017.8%
 
333849.3%
 
417764.9%
 
ValueCountFrequency (%) 
831< 0.1%
 
821< 0.1%
 
661< 0.1%
 
641< 0.1%
 
361< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
Missing
22323 
Yes
8748 
No
5188 
ValueCountFrequency (%) 
Missing2232361.6%
 
Yes874824.1%
 
No518814.3%
 
2022-05-06T13:46:49.814497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:49.881512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:49.943526image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length5.31953446
Min length2

drinks_past_year
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.37367274
Minimum0
Maximum365
Zeros12808
Zeros (%)35.3%
Memory size283.3 KiB
2022-05-06T13:46:50.040547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q352
95-th percentile260
Maximum365
Range365
Interquartile range (IQR)52

Descriptive statistics

Standard deviation88.48406436
Coefficient of variation (CV)1.829178132
Kurtosis4.798289453
Mean48.37367274
Median Absolute Deviation (MAD)5
Skewness2.336970995
Sum1753981
Variance7829.429646
MonotocityNot monotonic
2022-05-06T13:46:50.157583image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01280835.3%
 
5227067.5%
 
1225707.1%
 
10422856.3%
 
2417985.0%
 
217304.8%
 
15612773.5%
 
111803.3%
 
36411683.2%
 
510733.0%
 
Other values (88)766421.1%
 
ValueCountFrequency (%) 
01280835.3%
 
111803.3%
 
217304.8%
 
39572.6%
 
46651.8%
 
ValueCountFrequency (%) 
3651560.4%
 
36411683.2%
 
36010< 0.1%
 
3504< 0.1%
 
3481< 0.1%
 

cant_work
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
31342 
1
4917 
ValueCountFrequency (%) 
03134286.4%
 
1491713.6%
 
2022-05-06T13:46:50.242592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
28893 
1
7366 
ValueCountFrequency (%) 
02889379.7%
 
1736620.3%
 
2022-05-06T13:46:50.276600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
32829 
1
3430 
ValueCountFrequency (%) 
03282990.5%
 
134309.5%
 
2022-05-06T13:46:50.310608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33523 
1
 
2736
ValueCountFrequency (%) 
03352392.5%
 
127367.5%
 
2022-05-06T13:46:50.343615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35540 
1
 
719
ValueCountFrequency (%) 
03554098.0%
 
17192.0%
 
2022-05-06T13:46:50.376622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33078 
1
 
3181
ValueCountFrequency (%) 
03307891.2%
 
131818.8%
 
2022-05-06T13:46:50.409630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
33573 
1
 
2686
ValueCountFrequency (%) 
03357392.6%
 
126867.4%
 
2022-05-06T13:46:50.443638image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34034 
1
 
2225
ValueCountFrequency (%) 
03403493.9%
 
122256.1%
 
2022-05-06T13:46:50.476645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35067 
1
 
1192
ValueCountFrequency (%) 
03506796.7%
 
111923.3%
 
2022-05-06T13:46:50.510392image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
31569 
1
4690 
ValueCountFrequency (%) 
03156987.1%
 
1469012.9%
 
2022-05-06T13:46:50.543400image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
31324 
1
4935 
ValueCountFrequency (%) 
03132486.4%
 
1493513.6%
 
2022-05-06T13:46:50.576408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35908 
1
 
351
ValueCountFrequency (%) 
03590899.0%
 
13511.0%
 
2022-05-06T13:46:50.610415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35779 
1
 
480
ValueCountFrequency (%) 
03577998.7%
 
14801.3%
 
2022-05-06T13:46:50.643422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34962 
1
 
1297
ValueCountFrequency (%) 
03496296.4%
 
112973.6%
 
2022-05-06T13:46:50.676430image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35827 
1
 
432
ValueCountFrequency (%) 
03582798.8%
 
14321.2%
 
2022-05-06T13:46:50.709437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34057 
1
 
2202
ValueCountFrequency (%) 
03405793.9%
 
122026.1%
 
2022-05-06T13:46:50.743444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36203 
1
 
56
ValueCountFrequency (%) 
03620399.8%
 
1560.2%
 
2022-05-06T13:46:50.777452image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35244 
1
 
1015
ValueCountFrequency (%) 
03524497.2%
 
110152.8%
 
2022-05-06T13:46:50.810460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34923 
1
 
1336
ValueCountFrequency (%) 
03492396.3%
 
113363.7%
 
2022-05-06T13:46:50.844467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34976 
1
 
1283
ValueCountFrequency (%) 
03497696.5%
 
112833.5%
 
2022-05-06T13:46:50.877475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34672 
1
 
1587
ValueCountFrequency (%) 
03467295.6%
 
115874.4%
 
2022-05-06T13:46:51.032509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36162 
1
 
97
ValueCountFrequency (%) 
03616299.7%
 
1970.3%
 
2022-05-06T13:46:51.066517image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36187 
1
 
72
ValueCountFrequency (%) 
03618799.8%
 
1720.2%
 
2022-05-06T13:46:51.098524image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
36197 
1
 
62
ValueCountFrequency (%) 
03619799.8%
 
1620.2%
 
2022-05-06T13:46:51.131531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
23685 
1
12574 
ValueCountFrequency (%) 
02368565.3%
 
11257434.7%
 
2022-05-06T13:46:51.164539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

marijuana_per_month
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.230260073
Minimum0
Maximum99
Zeros32756
Zeros (%)90.3%
Memory size283.3 KiB
2022-05-06T13:46:51.229563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.286753676
Coefficient of variation (CV)4.297265099
Kurtosis34.38896561
Mean1.230260073
Median Absolute Deviation (MAD)0
Skewness5.225379535
Sum44608
Variance27.94976443
MonotocityNot monotonic
2022-05-06T13:46:51.333577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
03275690.3%
 
17212.0%
 
306681.8%
 
23340.9%
 
52210.6%
 
32080.6%
 
201790.5%
 
151670.5%
 
251550.4%
 
101500.4%
 
Other values (23)7001.9%
 
ValueCountFrequency (%) 
03275690.3%
 
17212.0%
 
23340.9%
 
32080.6%
 
41290.4%
 
ValueCountFrequency (%) 
994< 0.1%
 
772< 0.1%
 
306681.8%
 
29320.1%
 
28720.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
31707 
1
4552 
ValueCountFrequency (%) 
03170787.4%
 
1455212.6%
 
2022-05-06T13:46:51.406593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

cocaine_number_uses
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3825257178
Minimum0
Maximum6
Zeros32310
Zeros (%)89.1%
Memory size283.3 KiB
2022-05-06T13:46:51.457604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.21669451
Coefficient of variation (CV)3.180686825
Kurtosis10.51949927
Mean0.3825257178
Median Absolute Deviation (MAD)0
Skewness3.353342361
Sum13870
Variance1.480345532
MonotocityNot monotonic
2022-05-06T13:46:51.531621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
03231089.1%
 
29562.6%
 
37822.2%
 
67192.0%
 
46981.9%
 
54281.2%
 
13661.0%
 
ValueCountFrequency (%) 
03231089.1%
 
13661.0%
 
29562.6%
 
37822.2%
 
46981.9%
 
ValueCountFrequency (%) 
67192.0%
 
54281.2%
 
46981.9%
 
37822.2%
 
29562.6%
 

cocaine_per_month
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05822002813
Minimum0
Maximum99
Zeros35837
Zeros (%)98.8%
Memory size283.3 KiB
2022-05-06T13:46:51.620650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.111968813
Coefficient of variation (CV)19.09942074
Kurtosis3706.928854
Mean0.05822002813
Median Absolute Deviation (MAD)0
Skewness49.82114522
Sum2111
Variance1.236474641
MonotocityNot monotonic
2022-05-06T13:46:51.714671image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
03583798.8%
 
11590.4%
 
2760.2%
 
3450.1%
 
5380.1%
 
4210.1%
 
611< 0.1%
 
1011< 0.1%
 
3011< 0.1%
 
89< 0.1%
 
Other values (13)410.1%
 
ValueCountFrequency (%) 
03583798.8%
 
11590.4%
 
2760.2%
 
3450.1%
 
4210.1%
 
ValueCountFrequency (%) 
992< 0.1%
 
3011< 0.1%
 
291< 0.1%
 
281< 0.1%
 
252< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35567 
1
 
692
ValueCountFrequency (%) 
03556798.1%
 
16921.9%
 
2022-05-06T13:46:51.785678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

heronine_per_month
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02051904355
Minimum0
Maximum30
Zeros36200
Zeros (%)99.8%
Memory size283.3 KiB
2022-05-06T13:46:51.840690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6881248023
Coefficient of variation (CV)33.53591023
Kurtosis1514.204492
Mean0.02051904355
Median Absolute Deviation (MAD)0
Skewness38.06270681
Sum744
Variance0.4735157436
MonotocityNot monotonic
2022-05-06T13:46:51.922708image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
03620099.8%
 
116< 0.1%
 
3011< 0.1%
 
206< 0.1%
 
104< 0.1%
 
33< 0.1%
 
43< 0.1%
 
23< 0.1%
 
253< 0.1%
 
152< 0.1%
 
Other values (5)8< 0.1%
 
ValueCountFrequency (%) 
03620099.8%
 
116< 0.1%
 
23< 0.1%
 
33< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
3011< 0.1%
 
281< 0.1%
 
253< 0.1%
 
232< 0.1%
 
206< 0.1%
 

meth_use
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34468 
1
 
1791
ValueCountFrequency (%) 
03446895.1%
 
117914.9%
 
2022-05-06T13:46:51.990724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

meth_number_uses
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1612289363
Minimum0
Maximum6
Zeros34660
Zeros (%)95.6%
Memory size283.3 KiB
2022-05-06T13:46:52.040735image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8291908009
Coefficient of variation (CV)5.142940344
Kurtosis32.07996574
Mean0.1612289363
Median Absolute Deviation (MAD)0
Skewness5.615153711
Sum5846
Variance0.6875573843
MonotocityNot monotonic
2022-05-06T13:46:52.115752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
03466095.6%
 
63761.0%
 
23410.9%
 
33260.9%
 
42540.7%
 
51530.4%
 
11490.4%
 
ValueCountFrequency (%) 
03466095.6%
 
11490.4%
 
23410.9%
 
33260.9%
 
42540.7%
 
ValueCountFrequency (%) 
63761.0%
 
51530.4%
 
42540.7%
 
33260.9%
 
23410.9%
 

meth_per_month
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02986844645
Minimum0
Maximum30
Zeros36111
Zeros (%)99.6%
Memory size283.3 KiB
2022-05-06T13:46:52.202780image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7163614399
Coefficient of variation (CV)23.98388684
Kurtosis1116.515116
Mean0.02986844645
Median Absolute Deviation (MAD)0
Skewness31.76947474
Sum1083
Variance0.5131737126
MonotocityNot monotonic
2022-05-06T13:46:52.291790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
03611199.6%
 
1420.1%
 
2240.1%
 
5190.1%
 
311< 0.1%
 
209< 0.1%
 
158< 0.1%
 
307< 0.1%
 
107< 0.1%
 
44< 0.1%
 
Other values (10)17< 0.1%
 
ValueCountFrequency (%) 
03611199.6%
 
1420.1%
 
2240.1%
 
311< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
307< 0.1%
 
281< 0.1%
 
272< 0.1%
 
252< 0.1%
 
241< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
35602 
1
 
657
ValueCountFrequency (%) 
03560298.2%
 
16571.8%
 
2022-05-06T13:46:52.361806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
34987 
1
 
1272
ValueCountFrequency (%) 
03498796.5%
 
112723.5%
 
2022-05-06T13:46:52.394814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

start_smoking_age
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.379767782
Minimum0
Maximum76
Zeros21426
Zeros (%)59.1%
Memory size283.3 KiB
2022-05-06T13:46:52.467830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile23
Maximum76
Range76
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.524207869
Coefficient of variation (CV)1.290583681
Kurtosis0.3638056222
Mean7.379767782
Median Absolute Deviation (MAD)0
Skewness0.9326817447
Sum267583
Variance90.71053554
MonotocityNot monotonic
2022-05-06T13:46:52.585856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02142659.1%
 
1822236.1%
 
1618735.2%
 
1715004.1%
 
1514964.1%
 
2010482.9%
 
1410282.8%
 
199412.6%
 
137782.1%
 
216111.7%
 
Other values (52)33359.2%
 
ValueCountFrequency (%) 
02142659.1%
 
62< 0.1%
 
7720.2%
 
8700.2%
 
91090.3%
 
ValueCountFrequency (%) 
761< 0.1%
 
741< 0.1%
 
722< 0.1%
 
711< 0.1%
 
681< 0.1%
 

current_smoker
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size283.3 KiB
0
20789 
1
8359 
3
5780 
2
 
1331
ValueCountFrequency (%) 
02078957.3%
 
1835923.1%
 
3578015.9%
 
213313.7%
 
2022-05-06T13:46:52.702507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-06T13:46:52.774514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:52.966557image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

previous_cigarettes_per_day
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.48793403
Minimum0
Maximum95
Zeros28368
Zeros (%)78.2%
Memory size283.3 KiB
2022-05-06T13:46:53.064579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum95
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.731543943
Coefficient of variation (CV)2.790059634
Kurtosis21.31834141
Mean3.48793403
Median Absolute Deviation (MAD)0
Skewness4.068214845
Sum126469
Variance94.70294752
MonotocityNot monotonic
2022-05-06T13:46:53.179614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02836878.2%
 
2019675.4%
 
1011383.1%
 
17662.1%
 
405551.5%
 
55111.4%
 
34891.3%
 
304231.2%
 
24121.1%
 
43220.9%
 
Other values (45)13083.6%
 
ValueCountFrequency (%) 
02836878.2%
 
17662.1%
 
24121.1%
 
34891.3%
 
43220.9%
 
ValueCountFrequency (%) 
95360.1%
 
907< 0.1%
 
80340.1%
 
753< 0.1%
 
708< 0.1%
 

current_cigarettes_per_day
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.425770154
Minimum0
Maximum95
Zeros28822
Zeros (%)79.5%
Memory size283.3 KiB
2022-05-06T13:46:53.292629image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum95
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.64172404
Coefficient of variation (CV)2.73798572
Kurtosis27.23411923
Mean2.425770154
Median Absolute Deviation (MAD)0
Skewness4.177692827
Sum87956
Variance44.11249822
MonotocityNot monotonic
2022-05-06T13:46:53.397653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
02882279.5%
 
2014213.9%
 
1013083.6%
 
16331.7%
 
55671.6%
 
154721.3%
 
34711.3%
 
24661.3%
 
43791.0%
 
63100.9%
 
Other values (30)14103.9%
 
ValueCountFrequency (%) 
02882279.5%
 
16331.7%
 
24661.3%
 
34711.3%
 
43791.0%
 
ValueCountFrequency (%) 
9512< 0.1%
 
903< 0.1%
 
801< 0.1%
 
701< 0.1%
 
6018< 0.1%
 

days_quit_smoking
Real number (ℝ≥0)

ZEROS

Distinct144
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1544.790838
Minimum0
Maximum26280
Zeros27934
Zeros (%)77.0%
Memory size283.3 KiB
2022-05-06T13:46:53.508678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10950
Maximum26280
Range26280
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3828.916153
Coefficient of variation (CV)2.478598435
Kurtosis7.161980489
Mean1544.790838
Median Absolute Deviation (MAD)0
Skewness2.758623846
Sum56012571
Variance14660598.91
MonotocityNot monotonic
2022-05-06T13:46:53.627712image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02793477.0%
 
73005181.4%
 
109504721.3%
 
36504311.2%
 
54754061.1%
 
91253240.9%
 
18253120.9%
 
146003000.8%
 
7302860.8%
 
10952840.8%
 
Other values (134)499213.8%
 
ValueCountFrequency (%) 
02793477.0%
 
19< 0.1%
 
27< 0.1%
 
35< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
262801< 0.1%
 
259151< 0.1%
 
255501< 0.1%
 
244551< 0.1%
 
240905< 0.1%
 

household_smokers
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.265230701
Minimum0
Maximum4
Zeros10780
Zeros (%)29.7%
Memory size283.3 KiB
2022-05-06T13:46:53.724735image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.791524874
Coefficient of variation (CV)0.7908796544
Kurtosis-1.780570075
Mean2.265230701
Median Absolute Deviation (MAD)1
Skewness-0.20522643
Sum82135
Variance3.209561375
MonotocityNot monotonic
2022-05-06T13:46:53.804744image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
41759248.5%
 
01078029.7%
 
1472113.0%
 
224526.8%
 
37142.0%
 
ValueCountFrequency (%) 
01078029.7%
 
1472113.0%
 
224526.8%
 
37142.0%
 
41759248.5%
 
ValueCountFrequency (%) 
41759248.5%
 
37142.0%
 
224526.8%
 
1472113.0%
 
01078029.7%
 

prescriptions_count
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.079566452
Minimum0
Maximum23
Zeros16032
Zeros (%)44.2%
Memory size283.3 KiB
2022-05-06T13:46:53.898765image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.888429744
Coefficient of variation (CV)1.388957656
Kurtosis4.033107788
Mean2.079566452
Median Absolute Deviation (MAD)1
Skewness1.87371707
Sum75403
Variance8.343026388
MonotocityNot monotonic
2022-05-06T13:46:53.990785image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
01603244.2%
 
1547415.1%
 
2361810.0%
 
327677.6%
 
422096.1%
 
516884.7%
 
612573.5%
 
79702.7%
 
86631.8%
 
95031.4%
 
Other values (13)10783.0%
 
ValueCountFrequency (%) 
01603244.2%
 
1547415.1%
 
2361810.0%
 
327677.6%
 
422096.1%
 
ValueCountFrequency (%) 
231< 0.1%
 
221< 0.1%
 
206< 0.1%
 
1915< 0.1%
 
186< 0.1%
 

Correlations

2022-05-06T13:46:54.274849image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-06T13:46:56.692176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-06T13:46:58.977852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-06T13:47:01.297136image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-05-06T13:47:03.621828image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-05-06T13:46:17.777438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-05-06T13:46:24.281682image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Sample

First rows

SEQNdepressiongenderageracecitizenshipeducation_levelmarital_statushousehold_sizepregnantbirth_placeveteranhousehold_incomeasthmaasthma_onsetasthma_currentlyasthma_emergencyanemiaever_overweightblood_transfusionarthritisheart_failureheart_diseaseanginaheart_attackstrokeemphysemabronchitisliver_conditionthyroid_problembronchitis_currentlyliver_condition_currentlythyroid_problem_currentlycancerfirst_cancer_typesecond_cancer_typethird_cancer_typefourth_cancer_countheart_attack_relativeasthma_relativediabetes_relativehay_feverarthritis_onsetheart_failure_onsetheart_disease_onsetangina_onsetheart_attack_onsetstroke_onsetemphysema_onsetbronchitis_onsetliver_condition_onsetthyroid_problem_onsetcancer_onsetarthritis_typefirst_cancer_countsecond_cancer_countthird_cancer_countweightheightBMIpulseirregular_pulsesystolicdiastolictotal_cholesterolHDLtriglycerideLDLalbuminALTASTALPBUNcalciumCO2creatinineGGTglucoseironLHDphosphorusbilirubintotal_proteinuric_acidsodiumpotassiumchlorideosmolalityglobulinwhite_BCClymphocyte_percentmonocyte_percentneutrophils_percenteosinophils_percentbasophils_percentlymphocyte_countmonocyte_countneutrophils_counteosinophils_countbasophils_countRBC_counthemoglobinhematocritMCVMCHMCHCRDWplatelet_countMPVfull_time_workwork_typetime_in_current_jobout_of_worktrouble_sleeping_historysleep_hoursvigorous_recreationmoderate_recreationsedentary_timevigorous_workmoderate_workdrinks_per_occasionlifetime_alcohol_consumptiondrinks_past_yearcant_worklimited_workwalking_equipmentmemory_problemslimitationshealthcare_equipmenthealth_problem_Other Impairmenthealth_problem_Bone or Jointhealth_problem_Weighthealth_problem_Back or Neckhealth_problem_Arthritishealth_problem_Cancerhealth_problem_Other Injuryhealth_problem_Breathinghealth_problem_Strokehealth_problem_Blood Pressurehealth_problem_Mental Retardationhealth_problem_Hearinghealth_problem_Hearthealth_problem_Visionhealth_problem_Diabeteshealth_problem_Birth Defecthealth_problem_Senilityhealth_problem_Other Developmentalmarijuana_usemarijuana_per_monthcocaine_usecocaine_number_usescocaine_per_monthheroine_useheronine_per_monthmeth_usemeth_number_usesmeth_per_monthinject_drugsrehab_programstart_smoking_agecurrent_smokerprevious_cigarettes_per_daycurrent_cigarettes_per_daydays_quit_smokinghousehold_smokersprescriptions_count
031131Not Depressed144BlackCitizen4Married4NoUSANo110.00.00.00.00.00.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.01.00.01.00.00.042.00.00.00.00.00.00.00.00.00.0Missing0.00.00.075.2156.030.9058.00.0144.074.0105.039.086.049.03.514.016.074.06.08.923.00.817.087.051.0105.03.40.46.94.9137.04.1106.0271.03.45.335.87.855.10.90.51.90.42.95.397605e-795.397605e-794.6312.537.180.127.133.813.7298.07.8MissingPrivate Wage Worker324.0Missing0.09.0NoNo150.00.00.00.0Yes0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000042
131132Not Depressed070WhiteCitizen5Married2MissingUSAYes110.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.01.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.063.00.0Missing0.00.00.069.5167.624.7462.00.0138.060.0147.059.065.075.05.031.029.048.025.09.929.01.222.0155.089.0165.03.41.07.27.2140.03.8102.0287.02.27.529.49.158.92.20.42.20.74.42.000000e-015.397605e-794.7214.542.690.330.734.012.5225.08.6NoPrivate Wage Worker96.0Missing0.07.0NoYes150.00.00.01.0Missing208.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000044
231134Not Depressed073WhiteCitizen3Married2MissingUSAYes50.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.0101.9182.430.6350.00.0130.068.0186.049.0195.098.03.930.031.077.013.09.527.01.233.093.084.0158.03.30.57.17.5139.04.1103.0277.03.26.629.112.055.43.30.21.90.83.72.000000e-015.397605e-795.4515.948.388.629.233.013.4222.07.8MissingMissing0.0Retired1.07.0NoYes90.00.01.02.0Missing104.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000045
331139Not Depressed118Other HispanicCitizen0Never Married3NoUSANo111.01.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.073.9158.429.4568.00.0110.064.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.000000e+000.000000e+000.000.00.00.00.00.00.00.00.0MissingPrivate Wage Worker12.0Missing0.06.0YesYes120.00.00.00.0Missing0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000010
431143Not Depressed019WhiteCitizen0Never Married3MissingUSANo110.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.076.4184.022.5768.00.0108.062.0108.044.00.00.04.722.023.047.012.010.228.00.813.076.0158.093.04.51.07.24.3143.04.1104.0283.02.55.925.65.966.21.80.61.50.33.91.000000e-015.397605e-795.3616.348.790.930.333.312.1217.09.3NoPrivate Wage Worker24.0Missing0.07.0YesNo360.00.00.00.0Missing0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00002041
531144Not Depressed021Other HispanicCitizen3Never Married6MissingUSANo30.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.069.9167.125.0354.00.0116.074.0207.045.00.00.04.115.018.0183.09.010.327.00.715.081.0114.0120.04.70.77.36.0139.04.4103.0275.03.29.622.17.365.73.71.32.10.76.34.000000e-011.000000e-015.0917.049.998.033.334.011.6225.09.1MissingGovernment3.0Missing0.08.0YesYes180.00.00.02.0Missing24.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000040
631149Not Depressed185WhiteCitizen2Widowed1MissingUSANo10.00.00.00.00.00.01.01.00.00.00.00.00.00.00.00.01.00.00.01.01.0ColonNoneNone0.00.00.00.00.077.00.00.00.00.00.00.00.00.043.00.0Osteoarthritis1.00.00.051.9154.921.6364.00.0110.00.0121.054.00.00.03.719.028.050.019.09.023.01.112.092.076.0153.04.30.46.35.9140.03.8105.0281.02.625.069.66.723.20.30.317.41.75.81.000000e-011.000000e-013.7711.435.393.530.332.313.3198.08.2MissingMissing0.0Retired0.08.0NoNo300.00.00.00.0No0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000049
731150Not Depressed079WhiteCitizen3Divorced1MissingUSAYes30.00.00.00.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.01.0ColonNoneNone0.00.00.00.00.058.00.00.00.00.00.00.00.00.00.00.0Other1.00.00.085.0171.428.9366.00.0144.074.0181.081.050.090.04.123.028.067.010.09.523.00.916.094.0142.0150.03.61.37.54.8139.04.0103.0276.03.46.518.89.668.72.40.41.20.64.52.000000e-015.397605e-794.4814.443.597.232.233.212.4237.08.8MissingMissing0.0Retired0.08.0YesYes90.01.00.03.0Missing364.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01412001387040
831151Not Depressed159BlackCitizen3Married2NoUSANo71.044.01.00.00.01.00.01.00.00.00.00.01.00.01.00.01.01.00.01.00.0NoneNoneNone0.01.00.01.00.00.00.00.00.00.00.00.00.00.054.00.0Rheumatoid0.00.00.082.9167.629.5156.00.0136.076.0205.076.0123.0104.03.713.019.099.016.09.126.00.914.082.054.0125.04.00.56.95.4140.04.0108.0280.03.24.337.810.439.811.01.01.60.41.75.000000e-015.397605e-794.0211.834.585.929.334.113.6261.08.3MissingMissing0.0Disabled1.02.0NoNo420.00.00.00.0Yes0.00.01.00.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02516001058547
931152Not Depressed127MexicanCitizen3Married5YesMexicoNo70.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.094.1153.639.8878.01.094.062.0243.068.00.00.02.810.014.072.06.09.119.00.68.072.087.088.04.30.36.44.2139.03.7108.0274.03.69.717.23.876.61.60.91.70.47.42.000000e-011.000000e-014.0912.636.689.630.834.512.6342.07.6MissingMissing0.0Home Caretaker0.08.0YesYes180.00.00.00.0No0.00.00.00.01.00.00.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000040

Last rows

SEQNdepressiongenderageracecitizenshipeducation_levelmarital_statushousehold_sizepregnantbirth_placeveteranhousehold_incomeasthmaasthma_onsetasthma_currentlyasthma_emergencyanemiaever_overweightblood_transfusionarthritisheart_failureheart_diseaseanginaheart_attackstrokeemphysemabronchitisliver_conditionthyroid_problembronchitis_currentlyliver_condition_currentlythyroid_problem_currentlycancerfirst_cancer_typesecond_cancer_typethird_cancer_typefourth_cancer_countheart_attack_relativeasthma_relativediabetes_relativehay_feverarthritis_onsetheart_failure_onsetheart_disease_onsetangina_onsetheart_attack_onsetstroke_onsetemphysema_onsetbronchitis_onsetliver_condition_onsetthyroid_problem_onsetcancer_onsetarthritis_typefirst_cancer_countsecond_cancer_countthird_cancer_countweightheightBMIpulseirregular_pulsesystolicdiastolictotal_cholesterolHDLtriglycerideLDLalbuminALTASTALPBUNcalciumCO2creatinineGGTglucoseironLHDphosphorusbilirubintotal_proteinuric_acidsodiumpotassiumchlorideosmolalityglobulinwhite_BCClymphocyte_percentmonocyte_percentneutrophils_percenteosinophils_percentbasophils_percentlymphocyte_countmonocyte_countneutrophils_counteosinophils_countbasophils_countRBC_counthemoglobinhematocritMCVMCHMCHCRDWplatelet_countMPVfull_time_workwork_typetime_in_current_jobout_of_worktrouble_sleeping_historysleep_hoursvigorous_recreationmoderate_recreationsedentary_timevigorous_workmoderate_workdrinks_per_occasionlifetime_alcohol_consumptiondrinks_past_yearcant_worklimited_workwalking_equipmentmemory_problemslimitationshealthcare_equipmenthealth_problem_Other Impairmenthealth_problem_Bone or Jointhealth_problem_Weighthealth_problem_Back or Neckhealth_problem_Arthritishealth_problem_Cancerhealth_problem_Other Injuryhealth_problem_Breathinghealth_problem_Strokehealth_problem_Blood Pressurehealth_problem_Mental Retardationhealth_problem_Hearinghealth_problem_Hearthealth_problem_Visionhealth_problem_Diabeteshealth_problem_Birth Defecthealth_problem_Senilityhealth_problem_Other Developmentalmarijuana_usemarijuana_per_monthcocaine_usecocaine_number_usescocaine_per_monthheroine_useheronine_per_monthmeth_usemeth_number_usesmeth_per_monthinject_drugsrehab_programstart_smoking_agecurrent_smokerprevious_cigarettes_per_daycurrent_cigarettes_per_daydays_quit_smokinghousehold_smokersprescriptions_count
36249102934Not Depressed048BlackCitizen3Married3MissingUSANo90.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.083.7178.526.30.00.00.00.0180.045.098.0115.03.812.016.059.014.09.128.01.3028.089.096.0191.03.60.47.36.0141.03.8100.0281.03.516.318.25.675.50.50.33.00.912.31.000000e-015.397605e-794.3914.242.697.132.333.313.3227.07.4MissingPrivate Wage Worker192.0Missing0.07.5NoNo120.01.00.03.0Yes52.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.0243012020
36250102935Depressed127WhiteCitizen5Partner2NoUSANo111.015.00.00.00.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.027.00.00.00.00.00.00.00.00.00.00.0Rheumatoid0.00.00.059.5158.923.682.00.0116.064.00.00.00.00.00.00.00.00.00.00.00.00.000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.000000e+000.000000e+000.000.00.00.00.00.00.00.00.0MissingMissing0.0Disabled1.08.0YesYes720.01.00.01.0Yes182.01.01.00.01.00.01.01.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00000025
36251102943Not Depressed148MexicanCitizen4Partner6MissingUSANo121.041.00.00.00.01.00.00.00.00.00.00.00.00.00.01.00.00.01.00.00.0NoneNoneNone0.00.00.01.00.00.00.00.00.00.00.00.00.048.00.00.0Missing0.00.00.0122.7181.137.474.00.0134.080.0223.058.00.00.03.931.030.092.016.09.624.00.6526.086.050.0161.04.00.37.55.5143.04.0102.0285.03.69.544.34.647.92.11.24.20.44.62.000000e-011.000000e-014.6913.942.390.329.732.914.0308.09.3MissingPrivate Wage Worker17.0Missing0.05.5NoNo60.01.01.02.0Yes5.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000001
36252102944Not Depressed055Other and MultiracialCitizen3Married4MissingMexicoNo111.042.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.078.8163.129.682.00.00.00.0214.050.00.00.04.139.031.044.014.09.226.00.8349.093.075.0183.03.30.57.76.8143.03.1100.0285.03.67.635.68.150.35.60.52.70.63.84.000000e-015.397605e-795.3116.949.192.531.934.513.2265.06.7MissingPrivate Wage Worker156.0Missing0.06.0NoNo600.00.01.03.0Yes12.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000001
36253102947Not Depressed075BlackCitizen5Divorced1MissingUSANo80.00.00.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.01.0ProstateNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.068.0Missing1.00.00.073.2170.425.260.00.0160.082.0143.070.035.066.04.522.026.064.025.09.524.01.8126.077.085.0469.03.60.67.76.8142.04.9104.0286.03.23.638.018.642.50.30.71.40.71.55.397605e-795.397605e-794.9310.734.870.621.730.720.0118.09.3NoPrivate Wage Worker132.0Missing0.07.0NoYes240.00.00.01.0Yes5.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0191501277504
36254102949Not Depressed033WhiteCitizen3Partner5MissingUSANo60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.076.9180.123.796.00.0120.072.0201.073.00.00.04.526.029.0104.020.09.225.01.0514.096.097.0185.04.50.37.35.4143.05.3103.0287.02.89.029.88.859.02.20.42.70.85.32.000000e-015.397605e-794.6514.543.393.231.133.413.0254.08.6MissingSelf Employed60.0Missing0.06.5NoNo60.01.01.00.0No0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.05.01.03.00.00.00.01.02.00.00.01.0183020020
36255102952Not Depressed170Other and MultiracialCitizen3Married2MissingMexicoNo40.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.049.0156.520.068.00.0136.074.0119.060.078.043.04.822.027.057.013.09.927.00.7018.0150.0140.0168.03.71.27.46.4143.04.1100.0288.02.65.134.97.156.21.30.61.80.42.91.000000e-015.397605e-794.6413.440.687.729.033.113.3161.09.1MissingMissing0.0Retired0.08.5NoYes120.00.00.00.0Yes0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000001
36256102953Not Depressed042MexicanNot Citizen3Separated1MissingMexicoNo51.042.01.00.00.01.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.0NoneNoneNone0.00.01.00.01.00.00.00.00.00.00.00.00.034.00.00.0Missing0.00.00.097.4164.935.878.00.0124.076.0182.049.00.00.04.040.029.0115.017.09.024.00.9228.0101.070.0136.03.50.67.55.8144.03.8106.0289.03.58.328.36.860.83.60.62.30.65.03.000000e-015.397605e-795.0115.544.488.830.934.813.6227.08.7MissingPrivate Wage Worker204.0Missing1.06.0NoNo360.01.01.012.0Yes30.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02011027002
36257102954Not Depressed141BlackCitizen5Never Married7NoUSANo100.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.0Missing0.00.00.069.1162.626.178.00.0116.066.0172.054.049.0108.03.96.015.055.08.09.021.00.698.088.020.0123.03.50.26.53.1137.03.6101.0272.02.65.143.511.839.93.51.42.20.62.02.000000e-011.000000e-013.726.423.161.917.327.919.6145.09.7MissingMissing0.0Missing0.08.0NoYes600.00.00.00.0No0.00.01.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00000000
36258102956Not Depressed038WhiteCitizen4Divorced5MissingUSANo70.00.00.00.00.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.0NoneNoneNone0.00.00.00.00.027.00.00.00.00.00.00.00.00.00.00.0Osteoarthritis0.00.00.0111.5175.836.176.00.0150.098.0163.034.0269.075.04.347.027.084.012.09.727.00.8272.090.0101.0134.03.00.37.26.4139.04.399.0277.02.99.029.46.958.84.01.02.60.65.34.000000e-011.000000e-015.4617.450.191.831.934.713.3159.08.5MissingMissing0.0Health1.08.0NoNo720.00.00.02.0Yes9.01.01.01.00.00.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.0163020015